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<li>                    <a title="Collapse the entire tree below" href="#">Collapse</a>                    |                </li>                <li>                    <a title="Expand the entire tree below" href="#">Expand</a>                </li>            </ul>        </div>    </div>    <div id="content">        <ul id="tree">            <li xmlns="" class="level top open">                        <span><em class="time">                                <div class="time">175 ms</div>                            </em>test_gc</span>                <ul>                    <li class="level suite open">                                <span><em class="time">                                        <div class="time">175 ms</div>                                    </em>TestGC</span>                        <ul>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">65 ms</div>                                            </em><em class="status">passed</em>test_gc</span>                                <ul>                                    <li class="text">                                        <span class="stderr">/Users/edwardhyde/PycharmProjects/tinygrad-cuda/venv/lib/python3.8/site-packages/pyopencl/array.py:502: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe. <br/>Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations<br/>  assert dtype != np.object, \<br/>/Users/edwardhyde/PycharmProjects/tinygrad-cuda/venv/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py:126: UserWarning: torch.distributed.reduce_op is deprecated, please use torch.distributed.ReduceOp instead<br/>  warnings.warn(&quot;torch.distributed.reduce_op is deprecated, please use &quot;<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">110 ms</div>                                            </em><em class="status">passed</em>test_gc_complex</span>                                <ul>                                    <li class="text">                                        <span class="stdout">3<br/>4<br/></span>                                    </li>                                </ul>                            </li>                        </ul>                    </li>                </ul>            </li>            <li class="level top open">                        <span><em class="time">                                <div class="time">4 m 56 s</div>                            </em>test_mnist</span>                <ul>                    <li class="level suite open">                                <span><em class="time">                                        <div class="time">4 m 56 s</div>                                    </em>TestMNIST</span>                        <ul>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">1 m 15 s</div>                                            </em><em class="status">passed</em>test_conv</span>                                <ul>                                    <li class="text">                                                <span class="stderr">  0%|          | 0/200 [00:00&lt;?, ?it/s]loss 2.41 accuracy 0.07:   0%|          | 0/200 [00:00&lt;?, ?it/s]loss 2.41 accuracy 0.07:   0%|          | 1/200 [00:00&lt;01:28,  2.26it/s]loss 2.22 accuracy 0.12:   0%|          | 1/200 [00:00&lt;01:28,  2.26it/s]loss 2.22 accuracy 0.12:   1%|          | 2/200 [00:00&lt;01:20,  2.46it/s]loss 2.10 accuracy 0.24:   1%|          | 2/200 [00:01&lt;01:20,  2.46it/s]loss 2.10 accuracy 0.24:   2%|▏         | 3/200 [00:01&lt;01:15,  2.61it/s]loss 2.02 accuracy 0.35:   2%|▏         | 3/200 [00:01&lt;01:15,  2.61it/s]loss 2.02 accuracy 0.35:   2%|▏         | 4/200 [00:01&lt;01:12,  2.68it/s]loss 1.95 accuracy 0.33:   2%|▏         | 4/200 [00:01&lt;01:12,  2.68it/s]loss 1.95 accuracy 0.33:   2%|▎         | 5/200 [00:01&lt;01:07,  2.90it/s]loss 1.83 accuracy 0.40:   2%|▎         | 5/200 [00:02&lt;01:07,  2.90it/s]loss 1.83 accuracy 0.40:   3%|▎         | 6/200 [00:02&lt;01:03,  3.04it/s]loss 1.69 accuracy 0.56:   3%|▎         | 6/200 [00:02&lt;01:03,  3.04it/s]loss 1.69 accuracy 0.56:   4%|▎         | 7/200 [00:02&lt;01:00,  3.17it/s]loss 1.56 accuracy 0.59:   4%|▎         | 7/200 [00:02&lt;01:00,  3.17it/s]loss 1.56 accuracy 0.59:   4%|▍         | 8/200 [00:02&lt;00:57,  3.32it/s]loss 1.39 accuracy 0.77:   4%|▍         | 8/200 [00:02&lt;00:57,  3.32it/s]loss 1.39 accuracy 0.77:   4%|▍         | 9/200 [00:02&lt;00:56,  3.41it/s]loss 1.21 accuracy 0.73:   4%|▍         | 9/200 [00:03&lt;00:56,  3.41it/s]loss 1.21 accuracy 0.73:   5%|▌         | 10/200 [00:03&lt;00:55,  3.42it/s]loss 1.07 accuracy 0.74:   5%|▌         | 10/200 [00:03&lt;00:55,  3.42it/s]loss 1.07 accuracy 0.74:   6%|▌         | 11/200 [00:03&lt;00:54,  3.49it/s]loss 0.88 accuracy 0.76:   6%|▌         | 11/200 [00:03&lt;00:54,  3.49it/s]loss 0.88 accuracy 0.76:   6%|▌         | 12/200 [00:03&lt;00:53,  3.48it/s]loss 0.80 accuracy 0.75:   6%|▌         | 12/200 [00:04&lt;00:53,  3.48it/s]loss 0.80 accuracy 0.75:   6%|▋         | 13/200 [00:04&lt;00:54,  3.43it/s]loss 0.58 accuracy 0.85:   6%|▋         | 13/200 [00:04&lt;00:54,  3.43it/s]loss 0.58 accuracy 0.85:   7%|▋         | 14/200 [00:04&lt;00:55,  3.33it/s]loss 0.62 accuracy 0.83:   7%|▋         | 14/200 [00:04&lt;00:55,  3.33it/s]loss 0.62 accuracy 0.83:   8%|▊         | 15/200 [00:04&lt;00:56,  3.25it/s]loss 0.62 accuracy 0.80:   8%|▊         | 15/200 [00:05&lt;00:56,  3.25it/s]loss 0.62 accuracy 0.80:   8%|▊         | 16/200 [00:05&lt;00:57,  3.19it/s]loss 0.53 accuracy 0.82:   8%|▊         | 16/200 [00:05&lt;00:57,  3.19it/s]loss 0.53 accuracy 0.82:   8%|▊         | 17/200 [00:05&lt;00:58,  3.12it/s]loss 0.52 accuracy 0.85:   8%|▊         | 17/200 [00:05&lt;00:58,  3.12it/s]loss 0.52 accuracy 0.85:   9%|▉         | 18/200 [00:05&lt;00:59,  3.03it/s]loss 0.55 accuracy 0.84:   9%|▉         | 18/200 [00:06&lt;00:59,  3.03it/s]loss 0.55 accuracy 0.84:  10%|▉         | 19/200 [00:06&lt;01:00,  3.01it/s]loss 0.46 accuracy 0.84:  10%|▉         | 19/200 [00:06&lt;01:00,  3.01it/s]loss 0.46 accuracy 0.84:  10%|█         | 20/200 [00:06&lt;01:00,  2.96it/s]loss 0.36 accuracy 0.87:  10%|█         | 20/200 [00:06&lt;01:00,  2.96it/s]loss 0.36 accuracy 0.87:  10%|█         | 21/200 [00:06&lt;01:00,  2.96it/s]loss 0.45 accuracy 0.87:  10%|█         | 21/200 [00:07&lt;01:00,  2.96it/s]loss 0.45 accuracy 0.87:  11%|█         | 22/200 [00:07&lt;00:59,  3.02it/s]loss 0.47 accuracy 0.85:  11%|█         | 22/200 [00:07&lt;00:59,  3.02it/s]loss 0.47 accuracy 0.85:  12%|█▏        | 23/200 [00:07&lt;00:58,  3.04it/s]loss 0.67 accuracy 0.81:  12%|█▏        | 23/200 [00:07&lt;00:58,  3.04it/s]loss 0.67 accuracy 0.81:  12%|█▏        | 24/200 [00:07&lt;00:58,  3.02it/s]loss 0.28 accuracy 0.91:  12%|█▏        | 24/200 [00:08&lt;00:58,  3.02it/s]loss 0.28 accuracy 0.91:  12%|█▎        | 25/200 [00:08&lt;00:58,  2.98it/s]loss 0.30 accuracy 0.90:  12%|█▎        | 25/200 [00:08&lt;00:58,  2.98it/s]loss 0.30 accuracy 0.90:  13%|█▎        | 26/200 [00:08&lt;00:58,  2.97it/s]loss 0.47 accuracy 0.84:  13%|█▎        | 26/200 [00:08&lt;00:58,  2.97it/s]loss 0.47 accuracy 0.84:  14%|█▎        | 27/200 [00:08&lt;00:58,  2.95it/s]loss 0.41 accuracy 0.86:  14%|█▎        | 27/200 [00:09&lt;00:58,  2.95it/s]loss 0.41 accuracy 0.86:  14%|█▍        | 28/200 [00:09&lt;00:57,  2.99it/s]loss 0.45 accuracy 0.87:  14%|█▍        | 28/200 [00:09&lt;00:57,  2.99it/s]loss 0.45 accuracy 0.87:  14%|█▍        | 29/200 [00:09&lt;00:56,  3.01it/s]loss 0.24 accuracy 0.94:  14%|█▍        | 29/200 [00:09&lt;00:56,  3.01it/s]loss 0.24 accuracy 0.94:  15%|█▌        | 30/200 [00:09&lt;00:55,  3.05it/s]loss 0.27 accuracy 0.91:  15%|█▌        | 30/200 [00:10&lt;00:55,  3.05it/s]loss 0.27 accuracy 0.91:  16%|█▌        | 31/200 [00:10&lt;00:55,  3.05it/s]loss 0.29 accuracy 0.91:  16%|█▌        | 31/200 [00:10&lt;00:55,  3.05it/s]loss 0.29 accuracy 0.91:  16%|█▌        | 32/200 [00:10&lt;00:54,  3.06it/s]loss 0.20 accuracy 0.95:  16%|█▌        | 32/200 [00:10&lt;00:54,  3.06it/s]loss 0.20 accuracy 0.95:  16%|█▋        | 33/200 [00:10&lt;00:55,  3.03it/s]loss 0.17 accuracy 0.96:  16%|█▋        | 33/200 [00:11&lt;00:55,  3.03it/s]loss 0.17 accuracy 0.96:  17%|█▋        | 34/200 [00:11&lt;00:54,  3.02it/s]loss 0.38 accuracy 0.89:  17%|█▋        | 34/200 [00:11&lt;00:54,  3.02it/s]loss 0.38 accuracy 0.89:  18%|█▊        | 35/200 [00:11&lt;00:53,  3.06it/s]loss 0.28 accuracy 0.94:  18%|█▊        | 35/200 [00:11&lt;00:53,  3.06it/s]loss 0.28 accuracy 0.94:  18%|█▊        | 36/200 [00:11&lt;00:53,  3.04it/s]loss 0.24 accuracy 0.88:  18%|█▊        | 36/200 [00:12&lt;00:53,  3.04it/s]loss 0.24 accuracy 0.88:  18%|█▊        | 37/200 [00:12&lt;00:53,  3.04it/s]loss 0.31 accuracy 0.94:  18%|█▊        | 37/200 [00:12&lt;00:53,  3.04it/s]loss 0.31 accuracy 0.94:  19%|█▉        | 38/200 [00:12&lt;00:53,  3.05it/s]loss 0.31 accuracy 0.91:  19%|█▉        | 38/200 [00:12&lt;00:53,  3.05it/s]loss 0.31 accuracy 0.91:  20%|█▉        | 39/200 [00:12&lt;00:52,  3.06it/s]loss 0.27 accuracy 0.92:  20%|█▉        | 39/200 [00:13&lt;00:52,  3.06it/s]loss 0.27 accuracy 0.92:  20%|██        | 40/200 [00:13&lt;00:51,  3.09it/s]loss 0.14 accuracy 0.95:  20%|██        | 40/200 [00:13&lt;00:51,  3.09it/s]loss 0.14 accuracy 0.95:  20%|██        | 41/200 [00:13&lt;00:51,  3.10it/s]loss 0.29 accuracy 0.88:  20%|██        | 41/200 [00:13&lt;00:51,  3.10it/s]loss 0.29 accuracy 0.88:  21%|██        | 42/200 [00:13&lt;00:50,  3.11it/s]loss 0.27 accuracy 0.91:  21%|██        | 42/200 [00:14&lt;00:50,  3.11it/s]loss 0.27 accuracy 0.91:  22%|██▏       | 43/200 [00:14&lt;00:50,  3.08it/s]loss 0.16 accuracy 0.94:  22%|██▏       | 43/200 [00:14&lt;00:50,  3.08it/s]loss 0.16 accuracy 0.94:  22%|██▏       | 44/200 [00:14&lt;00:50,  3.08it/s]loss 0.31 accuracy 0.91:  22%|██▏       | 44/200 [00:14&lt;00:50,  3.08it/s]loss 0.31 accuracy 0.91:  22%|██▎       | 45/200 [00:14&lt;00:50,  3.07it/s]loss 0.23 accuracy 0.92:  22%|██▎       | 45/200 [00:14&lt;00:50,  3.07it/s]loss 0.23 accuracy 0.92:  23%|██▎       | 46/200 [00:14&lt;00:50,  3.08it/s]loss 0.17 accuracy 0.95:  23%|██▎       | 46/200 [00:15&lt;00:50,  3.08it/s]loss 0.17 accuracy 0.95:  24%|██▎       | 47/200 [00:15&lt;00:50,  3.03it/s]loss 0.28 accuracy 0.92:  24%|██▎       | 47/200 [00:15&lt;00:50,  3.03it/s]loss 0.28 accuracy 0.92:  24%|██▍       | 48/200 [00:15&lt;00:51,  2.94it/s]loss 0.17 accuracy 0.95:  24%|██▍       | 48/200 [00:16&lt;00:51,  2.94it/s]loss 0.17 accuracy 0.95:  24%|██▍       | 49/200 [00:16&lt;00:52,  2.88it/s]loss 0.17 accuracy 0.95:  24%|██▍       | 49/200 [00:16&lt;00:52,  2.88it/s]loss 0.17 accuracy 0.95:  25%|██▌       | 50/200 [00:16&lt;00:52,  2.84it/s]loss 0.22 accuracy 0.95:  25%|██▌       | 50/200 [00:16&lt;00:52,  2.84it/s]loss 0.22 accuracy 0.95:  26%|██▌       | 51/200 [00:16&lt;00:52,  2.82it/s]loss 0.27 accuracy 0.93:  26%|██▌       | 51/200 [00:17&lt;00:52,  2.82it/s]loss 0.27 accuracy 0.93:  26%|██▌       | 52/200 [00:17&lt;00:53,  2.77it/s]loss 0.18 accuracy 0.95:  26%|██▌       | 52/200 [00:17&lt;00:53,  2.77it/s]loss 0.18 accuracy 0.95:  26%|██▋       | 53/200 [00:17&lt;00:52,  2.81it/s]loss 0.19 accuracy 0.92:  26%|██▋       | 53/200 [00:17&lt;00:52,  2.81it/s]loss 0.19 accuracy 0.92:  27%|██▋       | 54/200 [00:17&lt;00:52,  2.78it/s]loss 0.15 accuracy 0.95:  27%|██▋       | 54/200 [00:18&lt;00:52,  2.78it/s]loss 0.15 accuracy 0.95:  28%|██▊       | 55/200 [00:18&lt;00:52,  2.76it/s]loss 0.25 accuracy 0.94:  28%|██▊       | 55/200 [00:18&lt;00:52,  2.76it/s]loss 0.25 accuracy 0.94:  28%|██▊       | 56/200 [00:18&lt;00:52,  2.77it/s]loss 0.15 accuracy 0.95:  28%|██▊       | 56/200 [00:18&lt;00:52,  2.77it/s]loss 0.15 accuracy 0.95:  28%|██▊       | 57/200 [00:18&lt;00:51,  2.77it/s]loss 0.17 accuracy 0.95:  28%|██▊       | 57/200 [00:19&lt;00:51,  2.77it/s]loss 0.17 accuracy 0.95:  29%|██▉       | 58/200 [00:19&lt;00:51,  2.76it/s]loss 0.22 accuracy 0.91:  29%|██▉       | 58/200 [00:19&lt;00:51,  2.76it/s]loss 0.22 accuracy 0.91:  30%|██▉       | 59/200 [00:19&lt;00:51,  2.74it/s]loss 0.17 accuracy 0.94:  30%|██▉       | 59/200 [00:20&lt;00:51,  2.74it/s]loss 0.17 accuracy 0.94:  30%|███       | 60/200 [00:20&lt;00:50,  2.79it/s]loss 0.20 accuracy 0.93:  30%|███       | 60/200 [00:20&lt;00:50,  2.79it/s]loss 0.20 accuracy 0.93:  30%|███       | 61/200 [00:20&lt;00:50,  2.77it/s]loss 0.18 accuracy 0.97:  30%|███       | 61/200 [00:20&lt;00:50,  2.77it/s]loss 0.18 accuracy 0.97:  31%|███       | 62/200 [00:20&lt;00:50,  2.75it/s]loss 0.17 accuracy 0.95:  31%|███       | 62/200 [00:21&lt;00:50,  2.75it/s]loss 0.17 accuracy 0.95:  32%|███▏      | 63/200 [00:21&lt;00:49,  2.74it/s]loss 0.12 accuracy 0.97:  32%|███▏      | 63/200 [00:21&lt;00:49,  2.74it/s]loss 0.12 accuracy 0.97:  32%|███▏      | 64/200 [00:21&lt;00:49,  2.76it/s]loss 0.17 accuracy 0.95:  32%|███▏      | 64/200 [00:21&lt;00:49,  2.76it/s]loss 0.17 accuracy 0.95:  32%|███▎      | 65/200 [00:21&lt;00:49,  2.75it/s]loss 0.19 accuracy 0.94:  32%|███▎      | 65/200 [00:22&lt;00:49,  2.75it/s]loss 0.19 accuracy 0.94:  33%|███▎      | 66/200 [00:22&lt;00:48,  2.77it/s]loss 0.08 accuracy 0.98:  33%|███▎      | 66/200 [00:22&lt;00:48,  2.77it/s]loss 0.08 accuracy 0.98:  34%|███▎      | 67/200 [00:22&lt;00:48,  2.74it/s]loss 0.17 accuracy 0.95:  34%|███▎      | 67/200 [00:22&lt;00:48,  2.74it/s]loss 0.17 accuracy 0.95:  34%|███▍      | 68/200 [00:22&lt;00:48,  2.74it/s]loss 0.12 accuracy 0.96:  34%|███▍      | 68/200 [00:23&lt;00:48,  2.74it/s]loss 0.12 accuracy 0.96:  34%|███▍      | 69/200 [00:23&lt;00:47,  2.75it/s]loss 0.23 accuracy 0.94:  34%|███▍      | 69/200 [00:23&lt;00:47,  2.75it/s]loss 0.23 accuracy 0.94:  35%|███▌      | 70/200 [00:23&lt;00:47,  2.74it/s]loss 0.14 accuracy 0.95:  35%|███▌      | 70/200 [00:24&lt;00:47,  2.74it/s]loss 0.14 accuracy 0.95:  36%|███▌      | 71/200 [00:24&lt;00:47,  2.74it/s]loss 0.23 accuracy 0.95:  36%|███▌      | 71/200 [00:24&lt;00:47,  2.74it/s]loss 0.23 accuracy 0.95:  36%|███▌      | 72/200 [00:24&lt;00:46,  2.75it/s]loss 0.14 accuracy 0.97:  36%|███▌      | 72/200 [00:24&lt;00:46,  2.75it/s]loss 0.14 accuracy 0.97:  36%|███▋      | 73/200 [00:24&lt;00:46,  2.75it/s]loss 0.20 accuracy 0.92:  36%|███▋      | 73/200 [00:25&lt;00:46,  2.75it/s]loss 0.20 accuracy 0.92:  37%|███▋      | 74/200 [00:25&lt;00:46,  2.72it/s]loss 0.11 accuracy 0.98:  37%|███▋      | 74/200 [00:25&lt;00:46,  2.72it/s]loss 0.11 accuracy 0.98:  38%|███▊      | 75/200 [00:25&lt;00:45,  2.74it/s]loss 0.16 accuracy 0.98:  38%|███▊      | 75/200 [00:25&lt;00:45,  2.74it/s]loss 0.16 accuracy 0.98:  38%|███▊      | 76/200 [00:25&lt;00:44,  2.78it/s]loss 0.35 accuracy 0.89:  38%|███▊      | 76/200 [00:26&lt;00:44,  2.78it/s]loss 0.35 accuracy 0.89:  38%|███▊      | 77/200 [00:26&lt;00:44,  2.77it/s]loss 0.09 accuracy 0.98:  38%|███▊      | 77/200 [00:26&lt;00:44,  2.77it/s]loss 0.09 accuracy 0.98:  39%|███▉      | 78/200 [00:26&lt;00:44,  2.76it/s]loss 0.11 accuracy 0.97:  39%|███▉      | 78/200 [00:26&lt;00:44,  2.76it/s]loss 0.11 accuracy 0.97:  40%|███▉      | 79/200 [00:26&lt;00:43,  2.78it/s]loss 0.08 accuracy 0.98:  40%|███▉      | 79/200 [00:27&lt;00:43,  2.78it/s]loss 0.08 accuracy 0.98:  40%|████      | 80/200 [00:27&lt;00:43,  2.76it/s]loss 0.17 accuracy 0.95:  40%|████      | 80/200 [00:27&lt;00:43,  2.76it/s]loss 0.17 accuracy 0.95:  40%|████      | 81/200 [00:27&lt;00:44,  2.70it/s]loss 0.17 accuracy 0.93:  40%|████      | 81/200 [00:28&lt;00:44,  2.70it/s]loss 0.17 accuracy 0.93:  41%|████      | 82/200 [00:28&lt;00:43,  2.74it/s]loss 0.14 accuracy 0.96:  41%|████      | 82/200 [00:28&lt;00:43,  2.74it/s]loss 0.14 accuracy 0.96:  42%|████▏     | 83/200 [00:28&lt;00:42,  2.74it/s]loss 0.17 accuracy 0.94:  42%|████▏     | 83/200 [00:28&lt;00:42,  2.74it/s]loss 0.17 accuracy 0.94:  42%|████▏     | 84/200 [00:28&lt;00:42,  2.74it/s]loss 0.21 accuracy 0.93:  42%|████▏     | 84/200 [00:29&lt;00:42,  2.74it/s]loss 0.21 accuracy 0.93:  42%|████▎     | 85/200 [00:29&lt;00:41,  2.75it/s]loss 0.12 accuracy 0.97:  42%|████▎     | 85/200 [00:29&lt;00:41,  2.75it/s]loss 0.12 accuracy 0.97:  43%|████▎     | 86/200 [00:29&lt;00:41,  2.78it/s]loss 0.11 accuracy 0.98:  43%|████▎     | 86/200 [00:29&lt;00:41,  2.78it/s]loss 0.11 accuracy 0.98:  44%|████▎     | 87/200 [00:29&lt;00:39,  2.83it/s]loss 0.20 accuracy 0.95:  44%|████▎     | 87/200 [00:30&lt;00:39,  2.83it/s]loss 0.20 accuracy 0.95:  44%|████▍     | 88/200 [00:30&lt;00:39,  2.81it/s]loss 0.17 accuracy 0.95:  44%|████▍     | 88/200 [00:30&lt;00:39,  2.81it/s]loss 0.17 accuracy 0.95:  44%|████▍     | 89/200 [00:30&lt;00:39,  2.78it/s]loss 0.16 accuracy 0.95:  44%|████▍     | 89/200 [00:30&lt;00:39,  2.78it/s]loss 0.16 accuracy 0.95:  45%|████▌     | 90/200 [00:30&lt;00:39,  2.76it/s]loss 0.12 accuracy 0.95:  45%|████▌     | 90/200 [00:31&lt;00:39,  2.76it/s]loss 0.12 accuracy 0.95:  46%|████▌     | 91/200 [00:31&lt;00:38,  2.81it/s]loss 0.09 accuracy 0.96:  46%|████▌     | 91/200 [00:31&lt;00:38,  2.81it/s]loss 0.09 accuracy 0.96:  46%|████▌     | 92/200 [00:31&lt;00:38,  2.83it/s]loss 0.20 accuracy 0.92:  46%|████▌     | 92/200 [00:31&lt;00:38,  2.83it/s]loss 0.20 accuracy 0.92:  46%|████▋     | 93/200 [00:31&lt;00:38,  2.81it/s]loss 0.12 accuracy 0.96:  46%|████▋     | 93/200 [00:32&lt;00:38,  2.81it/s]loss 0.12 accuracy 0.96:  47%|████▋     | 94/200 [00:32&lt;00:37,  2.79it/s]loss 0.11 accuracy 0.95:  47%|████▋     | 94/200 [00:32&lt;00:37,  2.79it/s]loss 0.11 accuracy 0.95:  48%|████▊     | 95/200 [00:32&lt;00:37,  2.77it/s]loss 0.13 accuracy 0.96:  48%|████▊     | 95/200 [00:33&lt;00:37,  2.77it/s]loss 0.13 accuracy 0.96:  48%|████▊     | 96/200 [00:33&lt;00:37,  2.75it/s]loss 0.12 accuracy 0.97:  48%|████▊     | 96/200 [00:33&lt;00:37,  2.75it/s]loss 0.12 accuracy 0.97:  48%|████▊     | 97/200 [00:33&lt;00:37,  2.73it/s]loss 0.25 accuracy 0.95:  48%|████▊     | 97/200 [00:33&lt;00:37,  2.73it/s]loss 0.25 accuracy 0.95:  49%|████▉     | 98/200 [00:33&lt;00:37,  2.73it/s]loss 0.09 accuracy 0.98:  49%|████▉     | 98/200 [00:34&lt;00:37,  2.73it/s]loss 0.09 accuracy 0.98:  50%|████▉     | 99/200 [00:34&lt;00:36,  2.74it/s]loss 0.14 accuracy 0.96:  50%|████▉     | 99/200 [00:34&lt;00:36,  2.74it/s]loss 0.14 accuracy 0.96:  50%|█████     | 100/200 [00:34&lt;00:36,  2.73it/s]loss 0.17 accuracy 0.95:  50%|█████     | 100/200 [00:34&lt;00:36,  2.73it/s]loss 0.17 accuracy 0.95:  50%|█████     | 101/200 [00:34&lt;00:36,  2.73it/s]loss 0.16 accuracy 0.95:  50%|█████     | 101/200 [00:35&lt;00:36,  2.73it/s]loss 0.16 accuracy 0.95:  51%|█████     | 102/200 [00:35&lt;00:35,  2.75it/s]loss 0.25 accuracy 0.93:  51%|█████     | 102/200 [00:35&lt;00:35,  2.75it/s]loss 0.25 accuracy 0.93:  52%|█████▏    | 103/200 [00:35&lt;00:35,  2.73it/s]loss 0.25 accuracy 0.93:  52%|█████▏    | 103/200 [00:36&lt;00:35,  2.73it/s]loss 0.25 accuracy 0.93:  52%|█████▏    | 104/200 [00:36&lt;00:35,  2.74it/s]loss 0.18 accuracy 0.95:  52%|█████▏    | 104/200 [00:36&lt;00:35,  2.74it/s]loss 0.18 accuracy 0.95:  52%|█████▎    | 105/200 [00:36&lt;00:34,  2.73it/s]loss 0.13 accuracy 0.97:  52%|█████▎    | 105/200 [00:36&lt;00:34,  2.73it/s]loss 0.13 accuracy 0.97:  53%|█████▎    | 106/200 [00:36&lt;00:34,  2.72it/s]loss 0.11 accuracy 0.97:  53%|█████▎    | 106/200 [00:37&lt;00:34,  2.72it/s]loss 0.11 accuracy 0.97:  54%|█████▎    | 107/200 [00:37&lt;00:34,  2.72it/s]loss 0.12 accuracy 0.94:  54%|█████▎    | 107/200 [00:37&lt;00:34,  2.72it/s]loss 0.12 accuracy 0.94:  54%|█████▍    | 108/200 [00:37&lt;00:33,  2.71it/s]loss 0.12 accuracy 0.95:  54%|█████▍    | 108/200 [00:37&lt;00:33,  2.71it/s]loss 0.12 accuracy 0.95:  55%|█████▍    | 109/200 [00:37&lt;00:33,  2.72it/s]loss 0.15 accuracy 0.95:  55%|█████▍    | 109/200 [00:38&lt;00:33,  2.72it/s]loss 0.15 accuracy 0.95:  55%|█████▌    | 110/200 [00:38&lt;00:32,  2.75it/s]loss 0.06 accuracy 0.98:  55%|█████▌    | 110/200 [00:38&lt;00:32,  2.75it/s]loss 0.06 accuracy 0.98:  56%|█████▌    | 111/200 [00:38&lt;00:32,  2.74it/s]loss 0.18 accuracy 0.95:  56%|█████▌    | 111/200 [00:38&lt;00:32,  2.74it/s]loss 0.18 accuracy 0.95:  56%|█████▌    | 112/200 [00:38&lt;00:32,  2.73it/s]loss 0.14 accuracy 0.95:  56%|█████▌    | 112/200 [00:39&lt;00:32,  2.73it/s]loss 0.14 accuracy 0.95:  56%|█████▋    | 113/200 [00:39&lt;00:31,  2.78it/s]loss 0.10 accuracy 0.97:  56%|█████▋    | 113/200 [00:39&lt;00:31,  2.78it/s]loss 0.10 accuracy 0.97:  57%|█████▋    | 114/200 [00:39&lt;00:30,  2.85it/s]loss 0.09 accuracy 0.97:  57%|█████▋    | 114/200 [00:39&lt;00:30,  2.85it/s]loss 0.09 accuracy 0.97:  57%|█████▊    | 115/200 [00:39&lt;00:29,  2.92it/s]loss 0.22 accuracy 0.96:  57%|█████▊    | 115/200 [00:40&lt;00:29,  2.92it/s]loss 0.22 accuracy 0.96:  58%|█████▊    | 116/200 [00:40&lt;00:28,  2.99it/s]loss 0.05 accuracy 0.99:  58%|█████▊    | 116/200 [00:40&lt;00:28,  2.99it/s]loss 0.05 accuracy 0.99:  58%|█████▊    | 117/200 [00:40&lt;00:26,  3.08it/s]loss 0.08 accuracy 0.98:  58%|█████▊    | 117/200 [00:40&lt;00:26,  3.08it/s]loss 0.08 accuracy 0.98:  59%|█████▉    | 118/200 [00:40&lt;00:26,  3.08it/s]loss 0.22 accuracy 0.92:  59%|█████▉    | 118/200 [00:41&lt;00:26,  3.08it/s]loss 0.22 accuracy 0.92:  60%|█████▉    | 119/200 [00:41&lt;00:26,  3.10it/s]loss 0.07 accuracy 0.98:  60%|█████▉    | 119/200 [00:41&lt;00:26,  3.10it/s]loss 0.07 accuracy 0.98:  60%|██████    | 120/200 [00:41&lt;00:26,  3.08it/s]loss 0.19 accuracy 0.95:  60%|██████    | 120/200 [00:41&lt;00:26,  3.08it/s]loss 0.19 accuracy 0.95:  60%|██████    | 121/200 [00:41&lt;00:26,  3.03it/s]loss 0.16 accuracy 0.92:  60%|██████    | 121/200 [00:42&lt;00:26,  3.03it/s]loss 0.16 accuracy 0.92:  61%|██████    | 122/200 [00:42&lt;00:25,  3.04it/s]loss 0.07 accuracy 0.98:  61%|██████    | 122/200 [00:42&lt;00:25,  3.04it/s]loss 0.07 accuracy 0.98:  62%|██████▏   | 123/200 [00:42&lt;00:25,  3.03it/s]loss 0.18 accuracy 0.93:  62%|██████▏   | 123/200 [00:42&lt;00:25,  3.03it/s]loss 0.18 accuracy 0.93:  62%|██████▏   | 124/200 [00:42&lt;00:24,  3.05it/s]loss 0.11 accuracy 0.98:  62%|██████▏   | 124/200 [00:43&lt;00:24,  3.05it/s]loss 0.11 accuracy 0.98:  62%|██████▎   | 125/200 [00:43&lt;00:24,  3.06it/s]loss 0.23 accuracy 0.95:  62%|██████▎   | 125/200 [00:43&lt;00:24,  3.06it/s]loss 0.23 accuracy 0.95:  63%|██████▎   | 126/200 [00:43&lt;00:24,  3.06it/s]loss 0.16 accuracy 0.98:  63%|██████▎   | 126/200 [00:43&lt;00:24,  3.06it/s]loss 0.16 accuracy 0.98:  64%|██████▎   | 127/200 [00:43&lt;00:23,  3.07it/s]loss 0.10 accuracy 0.97:  64%|██████▎   | 127/200 [00:44&lt;00:23,  3.07it/s]loss 0.10 accuracy 0.97:  64%|██████▍   | 128/200 [00:44&lt;00:23,  3.08it/s]loss 0.07 accuracy 0.97:  64%|██████▍   | 128/200 [00:44&lt;00:23,  3.08it/s]loss 0.07 accuracy 0.97:  64%|██████▍   | 129/200 [00:44&lt;00:23,  3.07it/s]loss 0.14 accuracy 0.95:  64%|██████▍   | 129/200 [00:44&lt;00:23,  3.07it/s]loss 0.14 accuracy 0.95:  65%|██████▌   | 130/200 [00:44&lt;00:23,  3.03it/s]loss 0.18 accuracy 0.95:  65%|██████▌   | 130/200 [00:45&lt;00:23,  3.03it/s]loss 0.18 accuracy 0.95:  66%|██████▌   | 131/200 [00:45&lt;00:22,  3.03it/s]loss 0.25 accuracy 0.92:  66%|██████▌   | 131/200 [00:45&lt;00:22,  3.03it/s]loss 0.25 accuracy 0.92:  66%|██████▌   | 132/200 [00:45&lt;00:22,  3.01it/s]loss 0.12 accuracy 0.95:  66%|██████▌   | 132/200 [00:45&lt;00:22,  3.01it/s]loss 0.12 accuracy 0.95:  66%|██████▋   | 133/200 [00:45&lt;00:22,  3.01it/s]loss 0.06 accuracy 0.98:  66%|██████▋   | 133/200 [00:46&lt;00:22,  3.01it/s]loss 0.06 accuracy 0.98:  67%|██████▋   | 134/200 [00:46&lt;00:22,  2.98it/s]loss 0.13 accuracy 0.96:  67%|██████▋   | 134/200 [00:46&lt;00:22,  2.98it/s]loss 0.13 accuracy 0.96:  68%|██████▊   | 135/200 [00:46&lt;00:21,  2.96it/s]loss 0.08 accuracy 0.99:  68%|██████▊   | 135/200 [00:46&lt;00:21,  2.96it/s]loss 0.08 accuracy 0.99:  68%|██████▊   | 136/200 [00:46&lt;00:21,  2.96it/s]loss 0.09 accuracy 0.97:  68%|██████▊   | 136/200 [00:47&lt;00:21,  2.96it/s]loss 0.09 accuracy 0.97:  68%|██████▊   | 137/200 [00:47&lt;00:21,  2.96it/s]loss 0.13 accuracy 0.96:  68%|██████▊   | 137/200 [00:47&lt;00:21,  2.96it/s]loss 0.13 accuracy 0.96:  69%|██████▉   | 138/200 [00:47&lt;00:20,  2.98it/s]loss 0.15 accuracy 0.97:  69%|██████▉   | 138/200 [00:47&lt;00:20,  2.98it/s]loss 0.15 accuracy 0.97:  70%|██████▉   | 139/200 [00:47&lt;00:20,  2.96it/s]loss 0.12 accuracy 0.96:  70%|██████▉   | 139/200 [00:48&lt;00:20,  2.96it/s]loss 0.12 accuracy 0.96:  70%|███████   | 140/200 [00:48&lt;00:20,  2.95it/s]loss 0.12 accuracy 0.98:  70%|███████   | 140/200 [00:48&lt;00:20,  2.95it/s]loss 0.12 accuracy 0.98:  70%|███████   | 141/200 [00:48&lt;00:20,  2.88it/s]loss 0.11 accuracy 0.97:  70%|███████   | 141/200 [00:48&lt;00:20,  2.88it/s]loss 0.11 accuracy 0.97:  71%|███████   | 142/200 [00:48&lt;00:20,  2.83it/s]loss 0.12 accuracy 0.96:  71%|███████   | 142/200 [00:49&lt;00:20,  2.83it/s]loss 0.12 accuracy 0.96:  72%|███████▏  | 143/200 [00:49&lt;00:20,  2.80it/s]loss 0.09 accuracy 0.97:  72%|███████▏  | 143/200 [00:49&lt;00:20,  2.80it/s]loss 0.09 accuracy 0.97:  72%|███████▏  | 144/200 [00:49&lt;00:20,  2.76it/s]loss 0.10 accuracy 0.98:  72%|███████▏  | 144/200 [00:50&lt;00:20,  2.76it/s]loss 0.10 accuracy 0.98:  72%|███████▎  | 145/200 [00:50&lt;00:19,  2.75it/s]loss 0.06 accuracy 0.98:  72%|███████▎  | 145/200 [00:50&lt;00:19,  2.75it/s]loss 0.06 accuracy 0.98:  73%|███████▎  | 146/200 [00:50&lt;00:19,  2.76it/s]loss 0.05 accuracy 0.98:  73%|███████▎  | 146/200 [00:50&lt;00:19,  2.76it/s]loss 0.05 accuracy 0.98:  74%|███████▎  | 147/200 [00:50&lt;00:18,  2.88it/s]loss 0.16 accuracy 0.96:  74%|███████▎  | 147/200 [00:51&lt;00:18,  2.88it/s]loss 0.16 accuracy 0.96:  74%|███████▍  | 148/200 [00:51&lt;00:17,  2.95it/s]loss 0.13 accuracy 0.97:  74%|███████▍  | 148/200 [00:51&lt;00:17,  2.95it/s]loss 0.13 accuracy 0.97:  74%|███████▍  | 149/200 [00:51&lt;00:17,  2.96it/s]loss 0.06 accuracy 0.98:  74%|███████▍  | 149/200 [00:51&lt;00:17,  2.96it/s]loss 0.06 accuracy 0.98:  75%|███████▌  | 150/200 [00:51&lt;00:16,  3.00it/s]loss 0.07 accuracy 0.98:  75%|███████▌  | 150/200 [00:52&lt;00:16,  3.00it/s]loss 0.07 accuracy 0.98:  76%|███████▌  | 151/200 [00:52&lt;00:16,  2.97it/s]loss 0.03 accuracy 1.00:  76%|███████▌  | 151/200 [00:52&lt;00:16,  2.97it/s]loss 0.03 accuracy 1.00:  76%|███████▌  | 152/200 [00:52&lt;00:16,  2.94it/s]loss 0.09 accuracy 0.97:  76%|███████▌  | 152/200 [00:52&lt;00:16,  2.94it/s]loss 0.09 accuracy 0.97:  76%|███████▋  | 153/200 [00:52&lt;00:16,  2.86it/s]loss 0.06 accuracy 0.97:  76%|███████▋  | 153/200 [00:53&lt;00:16,  2.86it/s]loss 0.06 accuracy 0.97:  77%|███████▋  | 154/200 [00:53&lt;00:16,  2.86it/s]loss 0.17 accuracy 0.96:  77%|███████▋  | 154/200 [00:53&lt;00:16,  2.86it/s]loss 0.17 accuracy 0.96:  78%|███████▊  | 155/200 [00:53&lt;00:15,  2.82it/s]loss 0.10 accuracy 0.97:  78%|███████▊  | 155/200 [00:53&lt;00:15,  2.82it/s]loss 0.10 accuracy 0.97:  78%|███████▊  | 156/200 [00:53&lt;00:15,  2.79it/s]loss 0.12 accuracy 0.98:  78%|███████▊  | 156/200 [00:54&lt;00:15,  2.79it/s]loss 0.12 accuracy 0.98:  78%|███████▊  | 157/200 [00:54&lt;00:15,  2.77it/s]loss 0.21 accuracy 0.95:  78%|███████▊  | 157/200 [00:54&lt;00:15,  2.77it/s]loss 0.21 accuracy 0.95:  79%|███████▉  | 158/200 [00:54&lt;00:15,  2.76it/s]loss 0.06 accuracy 0.99:  79%|███████▉  | 158/200 [00:54&lt;00:15,  2.76it/s]loss 0.06 accuracy 0.99:  80%|███████▉  | 159/200 [00:54&lt;00:14,  2.87it/s]loss 0.16 accuracy 0.95:  80%|███████▉  | 159/200 [00:55&lt;00:14,  2.87it/s]loss 0.16 accuracy 0.95:  80%|████████  | 160/200 [00:55&lt;00:13,  2.98it/s]loss 0.11 accuracy 0.96:  80%|████████  | 160/200 [00:55&lt;00:13,  2.98it/s]loss 0.11 accuracy 0.96:  80%|████████  | 161/200 [00:55&lt;00:12,  3.06it/s]loss 0.05 accuracy 0.99:  80%|████████  | 161/200 [00:55&lt;00:12,  3.06it/s]loss 0.05 accuracy 0.99:  81%|████████  | 162/200 [00:55&lt;00:12,  3.14it/s]loss 0.17 accuracy 0.98:  81%|████████  | 162/200 [00:56&lt;00:12,  3.14it/s]loss 0.17 accuracy 0.98:  82%|████████▏ | 163/200 [00:56&lt;00:11,  3.15it/s]loss 0.07 accuracy 0.98:  82%|████████▏ | 163/200 [00:56&lt;00:11,  3.15it/s]loss 0.07 accuracy 0.98:  82%|████████▏ | 164/200 [00:56&lt;00:11,  3.20it/s]loss 0.13 accuracy 0.95:  82%|████████▏ | 164/200 [00:56&lt;00:11,  3.20it/s]loss 0.13 accuracy 0.95:  82%|████████▎ | 165/200 [00:56&lt;00:10,  3.26it/s]loss 0.18 accuracy 0.94:  82%|████████▎ | 165/200 [00:56&lt;00:10,  3.26it/s]loss 0.18 accuracy 0.94:  83%|████████▎ | 166/200 [00:56&lt;00:10,  3.37it/s]loss 0.08 accuracy 0.98:  83%|████████▎ | 166/200 [00:57&lt;00:10,  3.37it/s]loss 0.08 accuracy 0.98:  84%|████████▎ | 167/200 [00:57&lt;00:09,  3.45it/s]loss 0.08 accuracy 0.98:  84%|████████▎ | 167/200 [00:57&lt;00:09,  3.45it/s]loss 0.08 accuracy 0.98:  84%|████████▍ | 168/200 [00:57&lt;00:09,  3.53it/s]loss 0.08 accuracy 0.98:  84%|████████▍ | 168/200 [00:57&lt;00:09,  3.53it/s]loss 0.08 accuracy 0.98:  84%|████████▍ | 169/200 [00:57&lt;00:08,  3.57it/s]loss 0.09 accuracy 0.98:  84%|████████▍ | 169/200 [00:58&lt;00:08,  3.57it/s]loss 0.09 accuracy 0.98:  85%|████████▌ | 170/200 [00:58&lt;00:08,  3.55it/s]loss 0.10 accuracy 0.96:  85%|████████▌ | 170/200 [00:58&lt;00:08,  3.55it/s]loss 0.10 accuracy 0.96:  86%|████████▌ | 171/200 [00:58&lt;00:08,  3.49it/s]loss 0.05 accuracy 0.98:  86%|████████▌ | 171/200 [00:58&lt;00:08,  3.49it/s]loss 0.05 accuracy 0.98:  86%|████████▌ | 172/200 [00:58&lt;00:08,  3.42it/s]loss 0.07 accuracy 0.96:  86%|████████▌ | 172/200 [00:59&lt;00:08,  3.42it/s]loss 0.07 accuracy 0.96:  86%|████████▋ | 173/200 [00:59&lt;00:09,  2.98it/s]loss 0.08 accuracy 0.98:  86%|████████▋ | 173/200 [00:59&lt;00:09,  2.98it/s]loss 0.08 accuracy 0.98:  87%|████████▋ | 174/200 [00:59&lt;00:08,  3.03it/s]loss 0.07 accuracy 0.98:  87%|████████▋ | 174/200 [00:59&lt;00:08,  3.03it/s]loss 0.07 accuracy 0.98:  88%|████████▊ | 175/200 [00:59&lt;00:08,  2.93it/s]loss 0.09 accuracy 0.95:  88%|████████▊ | 175/200 [01:00&lt;00:08,  2.93it/s]loss 0.09 accuracy 0.95:  88%|████████▊ | 176/200 [01:00&lt;00:08,  2.91it/s]loss 0.17 accuracy 0.95:  88%|████████▊ | 176/200 [01:00&lt;00:08,  2.91it/s]loss 0.17 accuracy 0.95:  88%|████████▊ | 177/200 [01:00&lt;00:07,  2.98it/s]loss 0.07 accuracy 0.96:  88%|████████▊ | 177/200 [01:00&lt;00:07,  2.98it/s]loss 0.07 accuracy 0.96:  89%|████████▉ | 178/200 [01:00&lt;00:07,  3.06it/s]loss 0.07 accuracy 0.98:  89%|████████▉ | 178/200 [01:01&lt;00:07,  3.06it/s]loss 0.07 accuracy 0.98:  90%|████████▉ | 179/200 [01:01&lt;00:06,  3.11it/s]loss 0.08 accuracy 0.98:  90%|████████▉ | 179/200 [01:01&lt;00:06,  3.11it/s]loss 0.08 accuracy 0.98:  90%|█████████ | 180/200 [01:01&lt;00:06,  2.91it/s]loss 0.04 accuracy 0.99:  90%|█████████ | 180/200 [01:01&lt;00:06,  2.91it/s]loss 0.04 accuracy 0.99:  90%|█████████ | 181/200 [01:01&lt;00:06,  2.76it/s]loss 0.12 accuracy 0.95:  90%|█████████ | 181/200 [01:02&lt;00:06,  2.76it/s]loss 0.12 accuracy 0.95:  91%|█████████ | 182/200 [01:02&lt;00:06,  2.67it/s]loss 0.10 accuracy 0.98:  91%|█████████ | 182/200 [01:02&lt;00:06,  2.67it/s]loss 0.10 accuracy 0.98:  92%|█████████▏| 183/200 [01:02&lt;00:07,  2.38it/s]loss 0.06 accuracy 0.98:  92%|█████████▏| 183/200 [01:03&lt;00:07,  2.38it/s]loss 0.06 accuracy 0.98:  92%|█████████▏| 184/200 [01:03&lt;00:06,  2.49it/s]loss 0.06 accuracy 0.98:  92%|█████████▏| 184/200 [01:03&lt;00:06,  2.49it/s]loss 0.06 accuracy 0.98:  92%|█████████▎| 185/200 [01:03&lt;00:05,  2.59it/s]loss 0.11 accuracy 0.97:  92%|█████████▎| 185/200 [01:03&lt;00:05,  2.59it/s]loss 0.11 accuracy 0.97:  93%|█████████▎| 186/200 [01:03&lt;00:05,  2.70it/s]loss 0.19 accuracy 0.93:  93%|█████████▎| 186/200 [01:04&lt;00:05,  2.70it/s]loss 0.19 accuracy 0.93:  94%|█████████▎| 187/200 [01:04&lt;00:04,  2.77it/s]loss 0.08 accuracy 0.98:  94%|█████████▎| 187/200 [01:04&lt;00:04,  2.77it/s]loss 0.08 accuracy 0.98:  94%|█████████▍| 188/200 [01:04&lt;00:04,  2.82it/s]loss 0.12 accuracy 0.97:  94%|█████████▍| 188/200 [01:04&lt;00:04,  2.82it/s]loss 0.12 accuracy 0.97:  94%|█████████▍| 189/200 [01:04&lt;00:03,  2.92it/s]loss 0.06 accuracy 0.98:  94%|█████████▍| 189/200 [01:05&lt;00:03,  2.92it/s]loss 0.06 accuracy 0.98:  95%|█████████▌| 190/200 [01:05&lt;00:03,  2.93it/s]loss 0.18 accuracy 0.95:  95%|█████████▌| 190/200 [01:05&lt;00:03,  2.93it/s]loss 0.18 accuracy 0.95:  96%|█████████▌| 191/200 [01:05&lt;00:03,  2.96it/s]loss 0.03 accuracy 0.98:  96%|█████████▌| 191/200 [01:05&lt;00:03,  2.96it/s]loss 0.03 accuracy 0.98:  96%|█████████▌| 192/200 [01:05&lt;00:02,  2.99it/s]loss 0.06 accuracy 0.99:  96%|█████████▌| 192/200 [01:06&lt;00:02,  2.99it/s]loss 0.06 accuracy 0.99:  96%|█████████▋| 193/200 [01:06&lt;00:02,  3.01it/s]loss 0.06 accuracy 0.98:  96%|█████████▋| 193/200 [01:06&lt;00:02,  3.01it/s]loss 0.06 accuracy 0.98:  97%|█████████▋| 194/200 [01:06&lt;00:01,  3.03it/s]loss 0.14 accuracy 0.95:  97%|█████████▋| 194/200 [01:06&lt;00:01,  3.03it/s]loss 0.14 accuracy 0.95:  98%|█████████▊| 195/200 [01:06&lt;00:01,  3.03it/s]loss 0.03 accuracy 0.99:  98%|█████████▊| 195/200 [01:07&lt;00:01,  3.03it/s]loss 0.03 accuracy 0.99:  98%|█████████▊| 196/200 [01:07&lt;00:01,  3.03it/s]loss 0.16 accuracy 0.95:  98%|█████████▊| 196/200 [01:07&lt;00:01,  3.03it/s]loss 0.16 accuracy 0.95:  98%|█████████▊| 197/200 [01:07&lt;00:00,  3.10it/s]loss 0.08 accuracy 0.98:  98%|█████████▊| 197/200 [01:07&lt;00:00,  3.10it/s]loss 0.08 accuracy 0.98:  99%|█████████▉| 198/200 [01:07&lt;00:00,  3.18it/s]loss 0.08 accuracy 0.97:  99%|█████████▉| 198/200 [01:08&lt;00:00,  3.18it/s]loss 0.08 accuracy 0.97: 100%|█████████▉| 199/200 [01:08&lt;00:00,  3.21it/s]loss 0.08 accuracy 0.98: 100%|█████████▉| 199/200 [01:08&lt;00:00,  3.21it/s]loss 0.08 accuracy 0.98: 100%|██████████| 200/200 [01:08&lt;00:00,  3.23it/s]loss 0.08 accuracy 0.98: 100%|██████████| 200/200 [01:08&lt;00:00,  2.93it/s]<br/>  0%|          | 0/79 [00:00&lt;?, ?it/s]  3%|▎         | 2/79 [00:00&lt;00:04, 17.45it/s]  5%|▌         | 4/79 [00:00&lt;00:05, 14.79it/s]  8%|▊         | 6/79 [00:00&lt;00:04, 14.64it/s] 10%|█         | 8/79 [00:00&lt;00:05, 13.85it/s] 13%|█▎        | 10/79 [00:00&lt;00:05, 13.53it/s] 15%|█▌        | 12/79 [00:00&lt;00:04, 13.43it/s] 18%|█▊        | 14/79 [00:01&lt;00:04, 13.34it/s] 20%|██        | 16/79 [00:01&lt;00:04, 12.61it/s] 23%|██▎       | 18/79 [00:01&lt;00:04, 12.63it/s] 25%|██▌       | 20/79 [00:01&lt;00:04, 12.78it/s] 28%|██▊       | 22/79 [00:01&lt;00:04, 12.97it/s] 30%|███       | 24/79 [00:01&lt;00:04, 13.28it/s] 33%|███▎      | 26/79 [00:01&lt;00:04, 12.12it/s] 35%|███▌      | 28/79 [00:02&lt;00:04, 12.47it/s] 38%|███▊      | 30/79 [00:02&lt;00:03, 12.63it/s] 41%|████      | 32/79 [00:02&lt;00:03, 12.78it/s] 43%|████▎     | 34/79 [00:02&lt;00:03, 11.92it/s] 46%|████▌     | 36/79 [00:02&lt;00:04, 10.60it/s] 48%|████▊     | 38/79 [00:03&lt;00:03, 11.26it/s] 51%|█████     | 40/79 [00:03&lt;00:03, 11.69it/s] 53%|█████▎    | 42/79 [00:03&lt;00:03, 12.07it/s] 56%|█████▌    | 44/79 [00:03&lt;00:02, 12.37it/s] 58%|█████▊    | 46/79 [00:03&lt;00:02, 12.77it/s] 61%|██████    | 48/79 [00:03&lt;00:02, 12.79it/s] 63%|██████▎   | 50/79 [00:03&lt;00:02, 12.34it/s] 66%|██████▌   | 52/79 [00:04&lt;00:02, 12.44it/s] 68%|██████▊   | 54/79 [00:04&lt;00:01, 12.53it/s] 71%|███████   | 56/79 [00:04&lt;00:01, 12.65it/s] 73%|███████▎  | 58/79 [00:04&lt;00:01, 12.80it/s] 76%|███████▌  | 60/79 [00:04&lt;00:01, 12.84it/s] 78%|███████▊  | 62/79 [00:04&lt;00:01, 12.91it/s] 81%|████████  | 64/79 [00:05&lt;00:01, 13.01it/s] 84%|████████▎ | 66/79 [00:05&lt;00:01, 12.95it/s] 86%|████████▌ | 68/79 [00:05&lt;00:00, 13.10it/s] 89%|████████▊ | 70/79 [00:05&lt;00:00, 13.08it/s] 91%|█████████ | 72/79 [00:05&lt;00:00, 13.08it/s] 94%|█████████▎| 74/79 [00:05&lt;00:00, 13.00it/s] 96%|█████████▌| 76/79 [00:05&lt;00:00, 12.55it/s] 99%|█████████▊| 78/79 [00:06&lt;00:00, 12.78it/s]100%|██████████| 79/79 [00:06&lt;00:00, 12.81it/s]<br/></span>                                    </li>                                    <li class="text">                                        <span class="stdout">test set accuracy is 0.975700<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">1 m 59 s</div>                                            </em><em class="status">passed</em>test_rmsprop</span>                                <ul>                                    <li class="text">                                                <span class="stderr">  0%|          | 0/1000 [00:00&lt;?, ?it/s]loss 2.44 accuracy 0.18:   0%|          | 0/1000 [00:00&lt;?, ?it/s]loss 2.44 accuracy 0.18:   0%|          | 1/1000 [00:00&lt;02:03,  8.11it/s]loss 2.48 accuracy 0.25:   0%|          | 1/1000 [00:00&lt;02:03,  8.11it/s]loss 2.48 accuracy 0.25:   0%|          | 2/1000 [00:00&lt;02:00,  8.31it/s]loss 2.10 accuracy 0.43:   0%|          | 2/1000 [00:00&lt;02:00,  8.31it/s]loss 2.10 accuracy 0.43:   0%|          | 3/1000 [00:00&lt;01:58,  8.41it/s]loss 1.94 accuracy 0.45:   0%|          | 3/1000 [00:00&lt;01:58,  8.41it/s]loss 1.94 accuracy 0.45:   0%|          | 4/1000 [00:00&lt;01:53,  8.78it/s]loss 1.39 accuracy 0.54:   0%|          | 4/1000 [00:00&lt;01:53,  8.78it/s]loss 1.39 accuracy 0.54:   0%|          | 5/1000 [00:00&lt;01:54,  8.71it/s]loss 1.10 accuracy 0.61:   0%|          | 5/1000 [00:00&lt;01:54,  8.71it/s]loss 1.10 accuracy 0.61:   1%|          | 6/1000 [00:00&lt;01:56,  8.54it/s]loss 1.08 accuracy 0.59:   1%|          | 6/1000 [00:00&lt;01:56,  8.54it/s]loss 1.08 accuracy 0.59:   1%|          | 7/1000 [00:00&lt;01:55,  8.63it/s]loss 0.81 accuracy 0.76:   1%|          | 7/1000 [00:00&lt;01:55,  8.63it/s]loss 0.81 accuracy 0.76:   1%|          | 8/1000 [00:00&lt;01:56,  8.49it/s]loss 0.85 accuracy 0.70:   1%|          | 8/1000 [00:01&lt;01:56,  8.49it/s]loss 0.85 accuracy 0.70:   1%|          | 9/1000 [00:01&lt;01:55,  8.61it/s]loss 0.73 accuracy 0.76:   1%|          | 9/1000 [00:01&lt;01:55,  8.61it/s]loss 0.73 accuracy 0.76:   1%|          | 10/1000 [00:01&lt;01:54,  8.61it/s]loss 0.76 accuracy 0.71:   1%|          | 10/1000 [00:01&lt;01:54,  8.61it/s]loss 0.76 accuracy 0.71:   1%|          | 11/1000 [00:01&lt;01:54,  8.64it/s]loss 0.54 accuracy 0.84:   1%|          | 11/1000 [00:01&lt;01:54,  8.64it/s]loss 0.54 accuracy 0.84:   1%|          | 12/1000 [00:01&lt;01:55,  8.52it/s]loss 0.52 accuracy 0.86:   1%|          | 12/1000 [00:01&lt;01:55,  8.52it/s]loss 0.52 accuracy 0.86:   1%|▏         | 13/1000 [00:01&lt;01:54,  8.60it/s]loss 0.54 accuracy 0.85:   1%|▏         | 13/1000 [00:01&lt;01:54,  8.60it/s]loss 0.54 accuracy 0.85:   1%|▏         | 14/1000 [00:01&lt;01:55,  8.50it/s]loss 0.48 accuracy 0.85:   1%|▏         | 14/1000 [00:01&lt;01:55,  8.50it/s]loss 0.48 accuracy 0.85:   2%|▏         | 15/1000 [00:01&lt;01:55,  8.50it/s]loss 0.59 accuracy 0.80:   2%|▏         | 15/1000 [00:01&lt;01:55,  8.50it/s]loss 0.59 accuracy 0.80:   2%|▏         | 16/1000 [00:01&lt;01:55,  8.50it/s]loss 0.55 accuracy 0.79:   2%|▏         | 16/1000 [00:01&lt;01:55,  8.50it/s]loss 0.55 accuracy 0.79:   2%|▏         | 17/1000 [00:01&lt;01:56,  8.42it/s]loss 0.38 accuracy 0.88:   2%|▏         | 17/1000 [00:02&lt;01:56,  8.42it/s]loss 0.38 accuracy 0.88:   2%|▏         | 18/1000 [00:02&lt;01:56,  8.44it/s]loss 0.52 accuracy 0.84:   2%|▏         | 18/1000 [00:02&lt;01:56,  8.44it/s]loss 0.52 accuracy 0.84:   2%|▏         | 19/1000 [00:02&lt;01:57,  8.34it/s]loss 0.54 accuracy 0.81:   2%|▏         | 19/1000 [00:02&lt;01:57,  8.34it/s]loss 0.54 accuracy 0.81:   2%|▏         | 20/1000 [00:02&lt;01:56,  8.38it/s]loss 0.52 accuracy 0.80:   2%|▏         | 20/1000 [00:02&lt;01:56,  8.38it/s]loss 0.52 accuracy 0.80:   2%|▏         | 21/1000 [00:02&lt;01:53,  8.63it/s]loss 0.58 accuracy 0.78:   2%|▏         | 21/1000 [00:02&lt;01:53,  8.63it/s]loss 0.58 accuracy 0.78:   2%|▏         | 22/1000 [00:02&lt;01:51,  8.78it/s]loss 0.50 accuracy 0.80:   2%|▏         | 22/1000 [00:02&lt;01:51,  8.78it/s]loss 0.50 accuracy 0.80:   2%|▏         | 23/1000 [00:02&lt;01:53,  8.64it/s]loss 0.48 accuracy 0.86:   2%|▏         | 23/1000 [00:02&lt;01:53,  8.64it/s]loss 0.48 accuracy 0.86:   2%|▏         | 24/1000 [00:02&lt;01:53,  8.58it/s]loss 0.32 accuracy 0.91:   2%|▏         | 24/1000 [00:02&lt;01:53,  8.58it/s]loss 0.32 accuracy 0.91:   2%|▎         | 25/1000 [00:02&lt;01:53,  8.56it/s]loss 0.46 accuracy 0.88:   2%|▎         | 25/1000 [00:03&lt;01:53,  8.56it/s]loss 0.46 accuracy 0.88:   3%|▎         | 26/1000 [00:03&lt;01:52,  8.68it/s]loss 0.55 accuracy 0.81:   3%|▎         | 26/1000 [00:03&lt;01:52,  8.68it/s]loss 0.55 accuracy 0.81:   3%|▎         | 27/1000 [00:03&lt;01:52,  8.62it/s]loss 0.62 accuracy 0.77:   3%|▎         | 27/1000 [00:03&lt;01:52,  8.62it/s]loss 0.62 accuracy 0.77:   3%|▎         | 28/1000 [00:03&lt;01:52,  8.63it/s]loss 0.67 accuracy 0.78:   3%|▎         | 28/1000 [00:03&lt;01:52,  8.63it/s]loss 0.67 accuracy 0.78:   3%|▎         | 29/1000 [00:03&lt;01:52,  8.60it/s]loss 0.56 accuracy 0.81:   3%|▎         | 29/1000 [00:03&lt;01:52,  8.60it/s]loss 0.56 accuracy 0.81:   3%|▎         | 30/1000 [00:03&lt;01:50,  8.79it/s]loss 0.56 accuracy 0.81:   3%|▎         | 30/1000 [00:03&lt;01:50,  8.79it/s]loss 0.56 accuracy 0.81:   3%|▎         | 31/1000 [00:03&lt;01:51,  8.72it/s]loss 0.39 accuracy 0.89:   3%|▎         | 31/1000 [00:03&lt;01:51,  8.72it/s]loss 0.39 accuracy 0.89:   3%|▎         | 32/1000 [00:03&lt;01:52,  8.63it/s]loss 0.39 accuracy 0.91:   3%|▎         | 32/1000 [00:03&lt;01:52,  8.63it/s]loss 0.39 accuracy 0.91:   3%|▎         | 33/1000 [00:03&lt;01:52,  8.59it/s]loss 0.42 accuracy 0.84:   3%|▎         | 33/1000 [00:03&lt;01:52,  8.59it/s]loss 0.42 accuracy 0.84:   3%|▎         | 34/1000 [00:03&lt;01:53,  8.54it/s]loss 0.43 accuracy 0.85:   3%|▎         | 34/1000 [00:04&lt;01:53,  8.54it/s]loss 0.43 accuracy 0.85:   4%|▎         | 35/1000 [00:04&lt;01:52,  8.57it/s]loss 0.41 accuracy 0.88:   4%|▎         | 35/1000 [00:04&lt;01:52,  8.57it/s]loss 0.41 accuracy 0.88:   4%|▎         | 36/1000 [00:04&lt;01:52,  8.60it/s]loss 0.30 accuracy 0.91:   4%|▎         | 36/1000 [00:04&lt;01:52,  8.60it/s]loss 0.30 accuracy 0.91:   4%|▎         | 37/1000 [00:04&lt;01:51,  8.65it/s]loss 0.49 accuracy 0.84:   4%|▎         | 37/1000 [00:04&lt;01:51,  8.65it/s]loss 0.49 accuracy 0.84:   4%|▍         | 38/1000 [00:04&lt;01:52,  8.57it/s]loss 0.58 accuracy 0.83:   4%|▍         | 38/1000 [00:04&lt;01:52,  8.57it/s]loss 0.58 accuracy 0.83:   4%|▍         | 39/1000 [00:04&lt;01:53,  8.48it/s]loss 0.29 accuracy 0.92:   4%|▍         | 39/1000 [00:04&lt;01:53,  8.48it/s]loss 0.29 accuracy 0.92:   4%|▍         | 40/1000 [00:04&lt;01:53,  8.47it/s]loss 0.22 accuracy 0.95:   4%|▍         | 40/1000 [00:04&lt;01:53,  8.47it/s]loss 0.22 accuracy 0.95:   4%|▍         | 41/1000 [00:04&lt;01:52,  8.51it/s]loss 0.30 accuracy 0.94:   4%|▍         | 41/1000 [00:04&lt;01:52,  8.51it/s]loss 0.30 accuracy 0.94:   4%|▍         | 42/1000 [00:04&lt;01:51,  8.63it/s]loss 0.36 accuracy 0.86:   4%|▍         | 42/1000 [00:05&lt;01:51,  8.63it/s]loss 0.36 accuracy 0.86:   4%|▍         | 43/1000 [00:05&lt;01:50,  8.63it/s]loss 0.32 accuracy 0.91:   4%|▍         | 43/1000 [00:05&lt;01:50,  8.63it/s]loss 0.32 accuracy 0.91:   4%|▍         | 44/1000 [00:05&lt;01:57,  8.16it/s]loss 0.32 accuracy 0.89:   4%|▍         | 44/1000 [00:05&lt;01:57,  8.16it/s]loss 0.32 accuracy 0.89:   4%|▍         | 45/1000 [00:05&lt;01:55,  8.26it/s]loss 0.38 accuracy 0.88:   4%|▍         | 45/1000 [00:05&lt;01:55,  8.26it/s]loss 0.38 accuracy 0.88:   5%|▍         | 46/1000 [00:05&lt;01:54,  8.32it/s]loss 0.35 accuracy 0.91:   5%|▍         | 46/1000 [00:05&lt;01:54,  8.32it/s]loss 0.35 accuracy 0.91:   5%|▍         | 47/1000 [00:05&lt;01:52,  8.51it/s]loss 0.31 accuracy 0.91:   5%|▍         | 47/1000 [00:05&lt;01:52,  8.51it/s]loss 0.31 accuracy 0.91:   5%|▍         | 48/1000 [00:05&lt;01:52,  8.46it/s]loss 0.33 accuracy 0.92:   5%|▍         | 48/1000 [00:05&lt;01:52,  8.46it/s]loss 0.33 accuracy 0.92:   5%|▍         | 49/1000 [00:05&lt;01:51,  8.54it/s]loss 0.40 accuracy 0.89:   5%|▍         | 49/1000 [00:05&lt;01:51,  8.54it/s]loss 0.40 accuracy 0.89:   5%|▌         | 50/1000 [00:05&lt;01:49,  8.67it/s]loss 0.27 accuracy 0.92:   5%|▌         | 50/1000 [00:05&lt;01:49,  8.67it/s]loss 0.27 accuracy 0.92:   5%|▌         | 51/1000 [00:05&lt;01:48,  8.78it/s]loss 0.38 accuracy 0.90:   5%|▌         | 51/1000 [00:06&lt;01:48,  8.78it/s]loss 0.38 accuracy 0.90:   5%|▌         | 52/1000 [00:06&lt;01:47,  8.79it/s]loss 0.39 accuracy 0.87:   5%|▌         | 52/1000 [00:06&lt;01:47,  8.79it/s]loss 0.39 accuracy 0.87:   5%|▌         | 53/1000 [00:06&lt;01:48,  8.70it/s]loss 0.80 accuracy 0.81:   5%|▌         | 53/1000 [00:06&lt;01:48,  8.70it/s]loss 0.80 accuracy 0.81:   5%|▌         | 54/1000 [00:06&lt;01:48,  8.74it/s]loss 0.55 accuracy 0.82:   5%|▌         | 54/1000 [00:06&lt;01:48,  8.74it/s]loss 0.55 accuracy 0.82:   6%|▌         | 55/1000 [00:06&lt;01:47,  8.77it/s]loss 0.36 accuracy 0.90:   6%|▌         | 55/1000 [00:06&lt;01:47,  8.77it/s]loss 0.36 accuracy 0.90:   6%|▌         | 56/1000 [00:06&lt;01:47,  8.77it/s]loss 0.40 accuracy 0.89:   6%|▌         | 56/1000 [00:06&lt;01:47,  8.77it/s]loss 0.40 accuracy 0.89:   6%|▌         | 57/1000 [00:06&lt;01:46,  8.83it/s]loss 0.39 accuracy 0.90:   6%|▌         | 57/1000 [00:06&lt;01:46,  8.83it/s]loss 0.39 accuracy 0.90:   6%|▌         | 58/1000 [00:06&lt;01:47,  8.80it/s]loss 0.35 accuracy 0.91:   6%|▌         | 58/1000 [00:06&lt;01:47,  8.80it/s]loss 0.35 accuracy 0.91:   6%|▌         | 59/1000 [00:06&lt;01:47,  8.79it/s]loss 0.39 accuracy 0.88:   6%|▌         | 59/1000 [00:06&lt;01:47,  8.79it/s]loss 0.39 accuracy 0.88:   6%|▌         | 60/1000 [00:06&lt;01:46,  8.86it/s]loss 0.27 accuracy 0.90:   6%|▌         | 60/1000 [00:07&lt;01:46,  8.86it/s]loss 0.27 accuracy 0.90:   6%|▌         | 61/1000 [00:07&lt;01:45,  8.88it/s]loss 0.40 accuracy 0.88:   6%|▌         | 61/1000 [00:07&lt;01:45,  8.88it/s]loss 0.40 accuracy 0.88:   6%|▌         | 62/1000 [00:07&lt;01:47,  8.73it/s]loss 0.29 accuracy 0.92:   6%|▌         | 62/1000 [00:07&lt;01:47,  8.73it/s]loss 0.29 accuracy 0.92:   6%|▋         | 63/1000 [00:07&lt;01:47,  8.71it/s]loss 0.21 accuracy 0.94:   6%|▋         | 63/1000 [00:07&lt;01:47,  8.71it/s]loss 0.21 accuracy 0.94:   6%|▋         | 64/1000 [00:07&lt;01:47,  8.75it/s]loss 0.42 accuracy 0.86:   6%|▋         | 64/1000 [00:07&lt;01:47,  8.75it/s]loss 0.42 accuracy 0.86:   6%|▋         | 65/1000 [00:07&lt;01:48,  8.60it/s]loss 0.41 accuracy 0.87:   6%|▋         | 65/1000 [00:07&lt;01:48,  8.60it/s]loss 0.41 accuracy 0.87:   7%|▋         | 66/1000 [00:07&lt;01:49,  8.57it/s]loss 0.33 accuracy 0.90:   7%|▋         | 66/1000 [00:07&lt;01:49,  8.57it/s]loss 0.33 accuracy 0.90:   7%|▋         | 67/1000 [00:07&lt;01:49,  8.51it/s]loss 0.35 accuracy 0.87:   7%|▋         | 67/1000 [00:07&lt;01:49,  8.51it/s]loss 0.35 accuracy 0.87:   7%|▋         | 68/1000 [00:07&lt;01:49,  8.55it/s]loss 0.37 accuracy 0.85:   7%|▋         | 68/1000 [00:08&lt;01:49,  8.55it/s]loss 0.37 accuracy 0.85:   7%|▋         | 69/1000 [00:08&lt;01:49,  8.50it/s]loss 0.38 accuracy 0.86:   7%|▋         | 69/1000 [00:08&lt;01:49,  8.50it/s]loss 0.38 accuracy 0.86:   7%|▋         | 70/1000 [00:08&lt;01:49,  8.51it/s]loss 0.29 accuracy 0.89:   7%|▋         | 70/1000 [00:08&lt;01:49,  8.51it/s]loss 0.29 accuracy 0.89:   7%|▋         | 71/1000 [00:08&lt;01:48,  8.59it/s]loss 0.33 accuracy 0.90:   7%|▋         | 71/1000 [00:08&lt;01:48,  8.59it/s]loss 0.33 accuracy 0.90:   7%|▋         | 72/1000 [00:08&lt;01:48,  8.53it/s]loss 0.37 accuracy 0.89:   7%|▋         | 72/1000 [00:08&lt;01:48,  8.53it/s]loss 0.37 accuracy 0.89:   7%|▋         | 73/1000 [00:08&lt;01:48,  8.52it/s]loss 0.26 accuracy 0.89:   7%|▋         | 73/1000 [00:08&lt;01:48,  8.52it/s]loss 0.26 accuracy 0.89:   7%|▋         | 74/1000 [00:08&lt;01:47,  8.61it/s]loss 0.47 accuracy 0.88:   7%|▋         | 74/1000 [00:08&lt;01:47,  8.61it/s]loss 0.47 accuracy 0.88:   8%|▊         | 75/1000 [00:08&lt;01:47,  8.62it/s]loss 0.27 accuracy 0.92:   8%|▊         | 75/1000 [00:08&lt;01:47,  8.62it/s]loss 0.27 accuracy 0.92:   8%|▊         | 76/1000 [00:08&lt;01:48,  8.52it/s]loss 0.30 accuracy 0.95:   8%|▊         | 76/1000 [00:08&lt;01:48,  8.52it/s]loss 0.30 accuracy 0.95:   8%|▊         | 77/1000 [00:08&lt;01:48,  8.53it/s]loss 0.25 accuracy 0.90:   8%|▊         | 77/1000 [00:09&lt;01:48,  8.53it/s]loss 0.25 accuracy 0.90:   8%|▊         | 78/1000 [00:09&lt;01:48,  8.53it/s]loss 0.39 accuracy 0.89:   8%|▊         | 78/1000 [00:09&lt;01:48,  8.53it/s]loss 0.39 accuracy 0.89:   8%|▊         | 79/1000 [00:09&lt;01:47,  8.60it/s]loss 0.17 accuracy 0.95:   8%|▊         | 79/1000 [00:09&lt;01:47,  8.60it/s]loss 0.17 accuracy 0.95:   8%|▊         | 80/1000 [00:09&lt;01:47,  8.55it/s]loss 0.36 accuracy 0.88:   8%|▊         | 80/1000 [00:09&lt;01:47,  8.55it/s]loss 0.36 accuracy 0.88:   8%|▊         | 81/1000 [00:09&lt;01:47,  8.58it/s]loss 0.36 accuracy 0.88:   8%|▊         | 81/1000 [00:09&lt;01:47,  8.58it/s]loss 0.36 accuracy 0.88:   8%|▊         | 82/1000 [00:09&lt;01:47,  8.57it/s]loss 0.32 accuracy 0.92:   8%|▊         | 82/1000 [00:09&lt;01:47,  8.57it/s]loss 0.32 accuracy 0.92:   8%|▊         | 83/1000 [00:09&lt;01:48,  8.47it/s]loss 0.21 accuracy 0.93:   8%|▊         | 83/1000 [00:09&lt;01:48,  8.47it/s]loss 0.21 accuracy 0.93:   8%|▊         | 84/1000 [00:09&lt;01:48,  8.46it/s]loss 0.12 accuracy 0.97:   8%|▊         | 84/1000 [00:09&lt;01:48,  8.46it/s]loss 0.12 accuracy 0.97:   8%|▊         | 85/1000 [00:09&lt;01:47,  8.49it/s]loss 0.21 accuracy 0.91:   8%|▊         | 85/1000 [00:10&lt;01:47,  8.49it/s]loss 0.21 accuracy 0.91:   9%|▊         | 86/1000 [00:10&lt;01:47,  8.50it/s]loss 0.12 accuracy 0.98:   9%|▊         | 86/1000 [00:10&lt;01:47,  8.50it/s]loss 0.12 accuracy 0.98:   9%|▊         | 87/1000 [00:10&lt;01:47,  8.51it/s]loss 0.27 accuracy 0.91:   9%|▊         | 87/1000 [00:10&lt;01:47,  8.51it/s]loss 0.27 accuracy 0.91:   9%|▉         | 88/1000 [00:10&lt;01:48,  8.44it/s]loss 0.38 accuracy 0.91:   9%|▉         | 88/1000 [00:10&lt;01:48,  8.44it/s]loss 0.38 accuracy 0.91:   9%|▉         | 89/1000 [00:10&lt;01:45,  8.60it/s]loss 0.21 accuracy 0.94:   9%|▉         | 89/1000 [00:10&lt;01:45,  8.60it/s]loss 0.21 accuracy 0.94:   9%|▉         | 90/1000 [00:10&lt;01:46,  8.57it/s]loss 0.30 accuracy 0.90:   9%|▉         | 90/1000 [00:10&lt;01:46,  8.57it/s]loss 0.30 accuracy 0.90:   9%|▉         | 91/1000 [00:10&lt;01:44,  8.73it/s]loss 0.30 accuracy 0.91:   9%|▉         | 91/1000 [00:10&lt;01:44,  8.73it/s]loss 0.30 accuracy 0.91:   9%|▉         | 92/1000 [00:10&lt;01:45,  8.59it/s]loss 0.29 accuracy 0.91:   9%|▉         | 92/1000 [00:10&lt;01:45,  8.59it/s]loss 0.29 accuracy 0.91:   9%|▉         | 93/1000 [00:10&lt;01:44,  8.67it/s]loss 0.38 accuracy 0.89:   9%|▉         | 93/1000 [00:10&lt;01:44,  8.67it/s]loss 0.38 accuracy 0.89:   9%|▉      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0.89:  10%|█         | 100/1000 [00:11&lt;01:40,  8.96it/s]loss 0.31 accuracy 0.89:  10%|█         | 101/1000 [00:11&lt;01:41,  8.90it/s]loss 0.19 accuracy 0.96:  10%|█         | 101/1000 [00:11&lt;01:41,  8.90it/s]loss 0.19 accuracy 0.96:  10%|█         | 102/1000 [00:11&lt;01:41,  8.84it/s]loss 0.27 accuracy 0.91:  10%|█         | 102/1000 [00:11&lt;01:41,  8.84it/s]loss 0.27 accuracy 0.91:  10%|█         | 103/1000 [00:11&lt;01:42,  8.79it/s]loss 0.18 accuracy 0.94:  10%|█         | 103/1000 [00:12&lt;01:42,  8.79it/s]loss 0.18 accuracy 0.94:  10%|█         | 104/1000 [00:12&lt;01:43,  8.65it/s]loss 0.18 accuracy 0.95:  10%|█         | 104/1000 [00:12&lt;01:43,  8.65it/s]loss 0.18 accuracy 0.95:  10%|█         | 105/1000 [00:12&lt;01:43,  8.69it/s]loss 0.30 accuracy 0.91:  10%|█         | 105/1000 [00:12&lt;01:43,  8.69it/s]loss 0.30 accuracy 0.91:  11%|█         | 106/1000 [00:12&lt;01:43,  8.61it/s]loss 0.33 accuracy 0.88:  11%|█         | 106/1000 [00:12&lt;01:43,  8.61it/s]loss 0.33 accuracy 0.88:  11%|█         | 107/1000 [00:12&lt;01:42,  8.70it/s]loss 0.19 accuracy 0.93:  11%|█         | 107/1000 [00:12&lt;01:42,  8.70it/s]loss 0.19 accuracy 0.93:  11%|█         | 108/1000 [00:12&lt;01:41,  8.76it/s]loss 0.22 accuracy 0.93:  11%|█         | 108/1000 [00:12&lt;01:41,  8.76it/s]loss 0.22 accuracy 0.93:  11%|█         | 109/1000 [00:12&lt;01:43,  8.62it/s]loss 0.22 accuracy 0.93:  11%|█         | 109/1000 [00:12&lt;01:43,  8.62it/s]loss 0.22 accuracy 0.93:  11%|█         | 110/1000 [00:12&lt;01:42,  8.67it/s]loss 0.19 accuracy 0.94:  11%|█         | 110/1000 [00:12&lt;01:42,  8.67it/s]loss 0.19 accuracy 0.94:  11%|█         | 111/1000 [00:12&lt;01:43,  8.60it/s]loss 0.16 accuracy 0.95:  11%|█         | 111/1000 [00:13&lt;01:43,  8.60it/s]loss 0.16 accuracy 0.95:  11%|█         | 112/1000 [00:13&lt;01:42,  8.70it/s]loss 0.25 accuracy 0.94:  11%|█         | 112/1000 [00:13&lt;01:42,  8.70it/s]loss 0.25 accuracy 0.94:  11%|█▏        | 113/1000 [00:13&lt;01:40,  8.85it/s]loss 0.24 accuracy 0.93:  11%|█▏        | 113/1000 [00:13&lt;01:40,  8.85it/s]loss 0.24 accuracy 0.93:  11%|█▏        | 114/1000 [00:13&lt;01:41,  8.75it/s]loss 0.32 accuracy 0.93:  11%|█▏        | 114/1000 [00:13&lt;01:41,  8.75it/s]loss 0.32 accuracy 0.93:  12%|█▏        | 115/1000 [00:13&lt;01:40,  8.84it/s]loss 0.33 accuracy 0.92:  12%|█▏        | 115/1000 [00:13&lt;01:40,  8.84it/s]loss 0.33 accuracy 0.92:  12%|█▏        | 116/1000 [00:13&lt;01:40,  8.80it/s]loss 0.21 accuracy 0.93:  12%|█▏        | 116/1000 [00:13&lt;01:40,  8.80it/s]loss 0.21 accuracy 0.93:  12%|█▏        | 117/1000 [00:13&lt;01:39,  8.87it/s]loss 0.21 accuracy 0.94:  12%|█▏        | 117/1000 [00:13&lt;01:39,  8.87it/s]loss 0.21 accuracy 0.94:  12%|█▏        | 118/1000 [00:13&lt;01:39,  8.86it/s]loss 0.14 accuracy 0.96:  12%|█▏        | 118/1000 [00:13&lt;01:39,  8.86it/s]loss 0.14 accuracy 0.96:  12%|█▏        | 119/1000 [00:13&lt;01:38,  8.92it/s]loss 0.48 accuracy 0.88:  12%|█▏        | 119/1000 [00:13&lt;01:38,  8.92it/s]loss 0.48 accuracy 0.88:  12%|█▏        | 120/1000 [00:13&lt;01:39,  8.86it/s]loss 0.21 accuracy 0.94:  12%|█▏        | 120/1000 [00:14&lt;01:39,  8.86it/s]loss 0.21 accuracy 0.94:  12%|█▏        | 121/1000 [00:14&lt;01:39,  8.81it/s]loss 0.25 accuracy 0.92:  12%|█▏        | 121/1000 [00:14&lt;01:39,  8.81it/s]loss 0.25 accuracy 0.92:  12%|█▏        | 122/1000 [00:14&lt;01:40,  8.72it/s]loss 0.17 accuracy 0.96:  12%|█▏        | 122/1000 [00:14&lt;01:40,  8.72it/s]loss 0.17 accuracy 0.96:  12%|█▏        | 123/1000 [00:14&lt;01:42,  8.57it/s]loss 0.12 accuracy 0.97:  12%|█▏        | 123/1000 [00:14&lt;01:42,  8.57it/s]loss 0.12 accuracy 0.97:  12%|█▏        | 124/1000 [00:14&lt;01:42,  8.58it/s]loss 0.24 accuracy 0.94:  12%|█▏        | 124/1000 [00:14&lt;01:42,  8.58it/s]loss 0.24 accuracy 0.94:  12%|█▎        | 125/1000 [00:14&lt;01:41,  8.59it/s]loss 0.26 accuracy 0.89:  12%|█▎        | 125/1000 [00:14&lt;01:41,  8.59it/s]loss 0.26 accuracy 0.89:  13%|█▎        | 126/1000 [00:14&lt;01:41,  8.59it/s]loss 0.19 accuracy 0.95:  13%|█▎        | 126/1000 [00:14&lt;01:41,  8.59it/s]loss 0.19 accuracy 0.95:  13%|█▎        | 127/1000 [00:14&lt;01:41,  8.64it/s]loss 0.25 accuracy 0.92:  13%|█▎        | 127/1000 [00:14&lt;01:41,  8.64it/s]loss 0.25 accuracy 0.92:  13%|█▎        | 128/1000 [00:14&lt;01:40,  8.65it/s]loss 0.15 accuracy 0.95:  13%|█▎        | 128/1000 [00:14&lt;01:40,  8.65it/s]loss 0.15 accuracy 0.95:  13%|█▎        | 129/1000 [00:14&lt;01:41,  8.57it/s]loss 0.27 accuracy 0.93:  13%|█▎        | 129/1000 [00:15&lt;01:41,  8.57it/s]loss 0.27 accuracy 0.93:  13%|█▎        | 130/1000 [00:15&lt;01:39,  8.76it/s]loss 0.31 accuracy 0.91:  13%|█▎        | 130/1000 [00:15&lt;01:39,  8.76it/s]loss 0.31 accuracy 0.91:  13%|█▎        | 131/1000 [00:15&lt;01:39,  8.74it/s]loss 0.29 accuracy 0.91:  13%|█▎        | 131/1000 [00:15&lt;01:39,  8.74it/s]loss 0.29 accuracy 0.91:  13%|█▎        | 132/1000 [00:15&lt;01:40,  8.64it/s]loss 0.21 accuracy 0.92:  13%|█▎        | 132/1000 [00:15&lt;01:40,  8.64it/s]loss 0.21 accuracy 0.92:  13%|█▎        | 133/1000 [00:15&lt;01:40,  8.67it/s]loss 0.22 accuracy 0.92:  13%|█▎        | 133/1000 [00:15&lt;01:40,  8.67it/s]loss 0.22 accuracy 0.92:  13%|█▎        | 134/1000 [00:15&lt;01:44,  8.28it/s]loss 0.25 accuracy 0.94:  13%|█▎        | 134/1000 [00:15&lt;01:44,  8.28it/s]loss 0.25 accuracy 0.94:  14%|█▎        | 135/1000 [00:15&lt;01:43,  8.32it/s]loss 0.28 accuracy 0.92:  14%|█▎        | 135/1000 [00:15&lt;01:43,  8.32it/s]loss 0.28 accuracy 0.92:  14%|█▎        | 136/1000 [00:15&lt;01:42,  8.40it/s]loss 0.17 accuracy 0.98:  14%|█▎        | 136/1000 [00:15&lt;01:42,  8.40it/s]loss 0.17 accuracy 0.98:  14%|█▎        | 137/1000 [00:15&lt;01:47,  7.99it/s]loss 0.20 accuracy 0.95:  14%|█▎        | 137/1000 [00:16&lt;01:47,  7.99it/s]loss 0.20 accuracy 0.95:  14%|█▍        | 138/1000 [00:16&lt;01:46,  8.13it/s]loss 0.20 accuracy 0.94:  14%|█▍        | 138/1000 [00:16&lt;01:46,  8.13it/s]loss 0.20 accuracy 0.94:  14%|█▍        | 139/1000 [00:16&lt;01:42,  8.39it/s]loss 0.26 accuracy 0.93:  14%|█▍        | 139/1000 [00:16&lt;01:42,  8.39it/s]loss 0.26 accuracy 0.93:  14%|█▍        | 140/1000 [00:16&lt;01:40,  8.56it/s]loss 0.18 accuracy 0.94:  14%|█▍        | 140/1000 [00:16&lt;01:40,  8.56it/s]loss 0.18 accuracy 0.94:  14%|█▍        | 141/1000 [00:16&lt;01:39,  8.65it/s]loss 0.23 accuracy 0.95:  14%|█▍        | 141/1000 [00:16&lt;01:39,  8.65it/s]loss 0.23 accuracy 0.95:  14%|█▍        | 142/1000 [00:16&lt;01:39,  8.63it/s]loss 0.21 accuracy 0.96:  14%|█▍        | 142/1000 [00:16&lt;01:39,  8.63it/s]loss 0.21 accuracy 0.96:  14%|█▍        | 143/1000 [00:16&lt;01:39,  8.61it/s]loss 0.15 accuracy 0.97:  14%|█▍        | 143/1000 [00:16&lt;01:39,  8.61it/s]loss 0.15 accuracy 0.97:  14%|█▍        | 144/1000 [00:16&lt;01:37,  8.73it/s]loss 0.27 accuracy 0.91:  14%|█▍        | 144/1000 [00:16&lt;01:37,  8.73it/s]loss 0.27 accuracy 0.91:  14%|█▍        | 145/1000 [00:16&lt;01:38,  8.65it/s]loss 0.18 accuracy 0.95:  14%|█▍        | 145/1000 [00:16&lt;01:38,  8.65it/s]loss 0.18 accuracy 0.95:  15%|█▍        | 146/1000 [00:16&lt;01:38,  8.67it/s]loss 0.17 accuracy 0.95:  15%|█▍        | 146/1000 [00:17&lt;01:38,  8.67it/s]loss 0.17 accuracy 0.95:  15%|█▍        | 147/1000 [00:17&lt;01:38,  8.67it/s]loss 0.16 accuracy 0.95:  15%|█▍        | 147/1000 [00:17&lt;01:38,  8.67it/s]loss 0.16 accuracy 0.95:  15%|█▍        | 148/1000 [00:17&lt;01:38,  8.69it/s]loss 0.12 accuracy 0.97:  15%|█▍        | 148/1000 [00:17&lt;01:38,  8.69it/s]loss 0.12 accuracy 0.97:  15%|█▍        | 149/1000 [00:17&lt;01:38,  8.68it/s]loss 0.31 accuracy 0.89:  15%|█▍        | 149/1000 [00:17&lt;01:38,  8.68it/s]loss 0.31 accuracy 0.89:  15%|█▌        | 150/1000 [00:17&lt;01:36,  8.82it/s]loss 0.12 accuracy 0.97:  15%|█▌        | 150/1000 [00:17&lt;01:36,  8.82it/s]loss 0.12 accuracy 0.97:  15%|█▌        | 151/1000 [00:17&lt;01:36,  8.76it/s]loss 0.23 accuracy 0.92:  15%|█▌        | 151/1000 [00:17&lt;01:36,  8.76it/s]loss 0.23 accuracy 0.92:  15%|█▌        | 152/1000 [00:17&lt;01:36,  8.82it/s]loss 0.17 accuracy 0.96:  15%|█▌        | 152/1000 [00:17&lt;01:36,  8.82it/s]loss 0.17 accuracy 0.96:  15%|█▌        | 153/1000 [00:17&lt;01:36,  8.79it/s]loss 0.27 accuracy 0.91:  15%|█▌        | 153/1000 [00:17&lt;01:36,  8.79it/s]loss 0.27 accuracy 0.91:  15%|█▌        | 154/1000 [00:17&lt;01:36,  8.76it/s]loss 0.29 accuracy 0.88:  15%|█▌        | 154/1000 [00:17&lt;01:36,  8.76it/s]loss 0.29 accuracy 0.88:  16%|█▌        | 155/1000 [00:17&lt;01:36,  8.79it/s]loss 0.31 accuracy 0.91:  16%|█▌        | 155/1000 [00:18&lt;01:36,  8.79it/s]loss 0.31 accuracy 0.91:  16%|█▌        | 156/1000 [00:18&lt;01:36,  8.73it/s]loss 0.27 accuracy 0.91:  16%|█▌        | 156/1000 [00:18&lt;01:36,  8.73it/s]loss 0.27 accuracy 0.91:  16%|█▌        | 157/1000 [00:18&lt;01:37,  8.65it/s]loss 0.15 accuracy 0.95:  16%|█▌        | 157/1000 [00:18&lt;01:37,  8.65it/s]loss 0.15 accuracy 0.95:  16%|█▌        | 158/1000 [00:18&lt;01:37,  8.64it/s]loss 0.16 accuracy 0.94:  16%|█▌        | 158/1000 [00:18&lt;01:37,  8.64it/s]loss 0.16 accuracy 0.94:  16%|█▌        | 159/1000 [00:18&lt;01:37,  8.62it/s]loss 0.16 accuracy 0.95:  16%|█▌        | 159/1000 [00:18&lt;01:37,  8.62it/s]loss 0.16 accuracy 0.95:  16%|█▌        | 160/1000 [00:18&lt;01:36,  8.66it/s]loss 0.20 accuracy 0.95:  16%|█▌        | 160/1000 [00:18&lt;01:36,  8.66it/s]loss 0.20 accuracy 0.95:  16%|█▌        | 161/1000 [00:18&lt;01:35,  8.79it/s]loss 0.10 accuracy 0.98:  16%|█▌        | 161/1000 [00:18&lt;01:35,  8.79it/s]loss 0.10 accuracy 0.98:  16%|█▌        | 162/1000 [00:18&lt;01:34,  8.89it/s]loss 0.11 accuracy 0.96:  16%|█▌        | 162/1000 [00:18&lt;01:34,  8.89it/s]loss 0.11 accuracy 0.96:  16%|█▋        | 163/1000 [00:18&lt;01:35,  8.77it/s]loss 0.28 accuracy 0.94:  16%|█▋        | 163/1000 [00:19&lt;01:35,  8.77it/s]loss 0.28 accuracy 0.94:  16%|█▋        | 164/1000 [00:19&lt;01:35,  8.74it/s]loss 0.34 accuracy 0.88:  16%|█▋        | 164/1000 [00:19&lt;01:35,  8.74it/s]loss 0.34 accuracy 0.88:  16%|█▋        | 165/1000 [00:19&lt;01:35,  8.79it/s]loss 0.23 accuracy 0.93:  16%|█▋        | 165/1000 [00:19&lt;01:35,  8.79it/s]loss 0.23 accuracy 0.93:  17%|█▋        | 166/1000 [00:19&lt;01:34,  8.78it/s]loss 0.18 accuracy 0.95:  17%|█▋        | 166/1000 [00:19&lt;01:34,  8.78it/s]loss 0.18 accuracy 0.95:  17%|█▋        | 167/1000 [00:19&lt;01:34,  8.80it/s]loss 0.24 accuracy 0.95:  17%|█▋        | 167/1000 [00:19&lt;01:34,  8.80it/s]loss 0.24 accuracy 0.95:  17%|█▋        | 168/1000 [00:19&lt;01:35,  8.76it/s]loss 0.24 accuracy 0.94:  17%|█▋        | 168/1000 [00:19&lt;01:35,  8.76it/s]loss 0.24 accuracy 0.94:  17%|█▋        | 169/1000 [00:19&lt;01:36,  8.64it/s]loss 0.26 accuracy 0.93:  17%|█▋        | 169/1000 [00:19&lt;01:36,  8.64it/s]loss 0.26 accuracy 0.93:  17%|█▋        | 170/1000 [00:19&lt;01:37,  8.55it/s]loss 0.18 accuracy 0.93:  17%|█▋        | 170/1000 [00:19&lt;01:37,  8.55it/s]loss 0.18 accuracy 0.93:  17%|█▋        | 171/1000 [00:19&lt;01:37,  8.52it/s]loss 0.18 accuracy 0.94:  17%|█▋        | 171/1000 [00:19&lt;01:37,  8.52it/s]loss 0.18 accuracy 0.94:  17%|█▋        | 172/1000 [00:19&lt;01:37,  8.45it/s]loss 0.21 accuracy 0.91:  17%|█▋        | 172/1000 [00:20&lt;01:37,  8.45it/s]loss 0.21 accuracy 0.91:  17%|█▋        | 173/1000 [00:20&lt;01:37,  8.52it/s]loss 0.18 accuracy 0.94:  17%|█▋        | 173/1000 [00:20&lt;01:37,  8.52it/s]loss 0.18 accuracy 0.94:  17%|█▋        | 174/1000 [00:20&lt;01:36,  8.60it/s]loss 0.23 accuracy 0.93:  17%|█▋        | 174/1000 [00:20&lt;01:36,  8.60it/s]loss 0.23 accuracy 0.93:  18%|█▊        | 175/1000 [00:20&lt;01:35,  8.60it/s]loss 0.18 accuracy 0.92:  18%|█▊        | 175/1000 [00:20&lt;01:35,  8.60it/s]loss 0.18 accuracy 0.92:  18%|█▊        | 176/1000 [00:20&lt;01:36,  8.57it/s]loss 0.26 accuracy 0.94:  18%|█▊        | 176/1000 [00:20&lt;01:36,  8.57it/s]loss 0.26 accuracy 0.94:  18%|█▊        | 177/1000 [00:20&lt;01:36,  8.53it/s]loss 0.24 accuracy 0.95:  18%|█▊        | 177/1000 [00:20&lt;01:36,  8.53it/s]loss 0.24 accuracy 0.95:  18%|█▊        | 178/1000 [00:20&lt;01:36,  8.50it/s]loss 0.10 accuracy 0.98:  18%|█▊        | 178/1000 [00:20&lt;01:36,  8.50it/s]loss 0.10 accuracy 0.98:  18%|█▊        | 179/1000 [00:20&lt;01:36,  8.48it/s]loss 0.38 accuracy 0.91:  18%|█▊        | 179/1000 [00:20&lt;01:36,  8.48it/s]loss 0.38 accuracy 0.91:  18%|█▊        | 180/1000 [00:20&lt;01:36,  8.52it/s]loss 0.19 accuracy 0.95:  18%|█▊        | 180/1000 [00:21&lt;01:36,  8.52it/s]loss 0.19 accuracy 0.95:  18%|█▊        | 181/1000 [00:21&lt;01:41,  8.04it/s]loss 0.16 accuracy 0.94:  18%|█▊        | 181/1000 [00:21&lt;01:41,  8.04it/s]loss 0.16 accuracy 0.94:  18%|█▊        | 182/1000 [00:21&lt;01:40,  8.17it/s]loss 0.19 accuracy 0.93:  18%|█▊        | 182/1000 [00:21&lt;01:40,  8.17it/s]loss 0.19 accuracy 0.93:  18%|█▊        | 183/1000 [00:21&lt;01:39,  8.21it/s]loss 0.16 accuracy 0.97:  18%|█▊        | 183/1000 [00:21&lt;01:39,  8.21it/s]loss 0.16 accuracy 0.97:  18%|█▊        | 184/1000 [00:21&lt;01:37,  8.34it/s]loss 0.26 accuracy 0.95:  18%|█▊        | 184/1000 [00:21&lt;01:37,  8.34it/s]loss 0.26 accuracy 0.95:  18%|█▊        | 185/1000 [00:21&lt;01:35,  8.50it/s]loss 0.18 accuracy 0.95:  18%|█▊        | 185/1000 [00:21&lt;01:35,  8.50it/s]loss 0.18 accuracy 0.95:  19%|█▊        | 186/1000 [00:21&lt;01:34,  8.59it/s]loss 0.28 accuracy 0.92:  19%|█▊        | 186/1000 [00:21&lt;01:34,  8.59it/s]loss 0.28 accuracy 0.92:  19%|█▊        | 187/1000 [00:21&lt;01:34,  8.62it/s]loss 0.40 accuracy 0.91:  19%|█▊        | 187/1000 [00:21&lt;01:34,  8.62it/s]loss 0.40 accuracy 0.91:  19%|█▉        | 188/1000 [00:21&lt;01:31,  8.83it/s]loss 0.21 accuracy 0.92:  19%|█▉        | 188/1000 [00:21&lt;01:31,  8.83it/s]loss 0.21 accuracy 0.92:  19%|█▉        | 189/1000 [00:21&lt;01:30,  8.93it/s]loss 0.16 accuracy 0.95:  19%|█▉        | 189/1000 [00:22&lt;01:30,  8.93it/s]loss 0.16 accuracy 0.95:  19%|█▉        | 190/1000 [00:22&lt;01:30,  8.95it/s]loss 0.18 accuracy 0.91:  19%|█▉        | 190/1000 [00:22&lt;01:30,  8.95it/s]loss 0.18 accuracy 0.91:  19%|█▉        | 191/1000 [00:22&lt;01:32,  8.74it/s]loss 0.10 accuracy 0.98:  19%|█▉        | 191/1000 [00:22&lt;01:32,  8.74it/s]loss 0.10 accuracy 0.98:  19%|█▉        | 192/1000 [00:22&lt;01:31,  8.78it/s]loss 0.09 accuracy 0.99:  19%|█▉        | 192/1000 [00:22&lt;01:31,  8.78it/s]loss 0.09 accuracy 0.99:  19%|█▉        | 193/1000 [00:22&lt;01:29,  8.98it/s]loss 0.13 accuracy 0.98:  19%|█▉        | 193/1000 [00:22&lt;01:29,  8.98it/s]loss 0.13 accuracy 0.98:  19%|█▉        | 194/1000 [00:22&lt;01:30,  8.89it/s]loss 0.08 accuracy 0.99:  19%|█▉        | 194/1000 [00:22&lt;01:30,  8.89it/s]loss 0.08 accuracy 0.99:  20%|█▉        | 195/1000 [00:22&lt;01:29,  8.95it/s]loss 0.13 accuracy 0.95:  20%|█▉        | 195/1000 [00:22&lt;01:29,  8.95it/s]loss 0.13 accuracy 0.95:  20%|█▉        | 196/1000 [00:22&lt;01:33,  8.60it/s]loss 0.09 accuracy 0.98:  20%|█▉        | 196/1000 [00:22&lt;01:33,  8.60it/s]loss 0.09 accuracy 0.98:  20%|█▉        | 197/1000 [00:22&lt;01:33,  8.63it/s]loss 0.30 accuracy 0.92:  20%|█▉        | 197/1000 [00:22&lt;01:33,  8.63it/s]loss 0.30 accuracy 0.92:  20%|█▉        | 198/1000 [00:22&lt;01:33,  8.53it/s]loss 0.17 accuracy 0.93:  20%|█▉        | 198/1000 [00:23&lt;01:33,  8.53it/s]loss 0.17 accuracy 0.93:  20%|█▉        | 199/1000 [00:23&lt;01:33,  8.54it/s]loss 0.31 accuracy 0.88:  20%|█▉        | 199/1000 [00:23&lt;01:33,  8.54it/s]loss 0.31 accuracy 0.88:  20%|██        | 200/1000 [00:23&lt;01:33,  8.58it/s]loss 0.20 accuracy 0.95:  20%|██        | 200/1000 [00:23&lt;01:33,  8.58it/s]loss 0.20 accuracy 0.95:  20%|██        | 201/1000 [00:23&lt;01:33,  8.58it/s]loss 0.38 accuracy 0.92:  20%|██        | 201/1000 [00:23&lt;01:33,  8.58it/s]loss 0.38 accuracy 0.92:  20%|██        | 202/1000 [00:23&lt;01:32,  8.60it/s]loss 0.18 accuracy 0.93:  20%|██        | 202/1000 [00:23&lt;01:32,  8.60it/s]loss 0.18 accuracy 0.93:  20%|██        | 203/1000 [00:23&lt;01:32,  8.63it/s]loss 0.15 accuracy 0.96:  20%|██        | 203/1000 [00:23&lt;01:32,  8.63it/s]loss 0.15 accuracy 0.96:  20%|██        | 204/1000 [00:23&lt;01:32,  8.61it/s]loss 0.29 accuracy 0.91:  20%|██        | 204/1000 [00:23&lt;01:32,  8.61it/s]loss 0.29 accuracy 0.91:  20%|██        | 205/1000 [00:23&lt;01:32,  8.62it/s]loss 0.28 accuracy 0.94:  20%|██        | 205/1000 [00:23&lt;01:32,  8.62it/s]loss 0.28 accuracy 0.94:  21%|██        | 206/1000 [00:23&lt;01:32,  8.57it/s]loss 0.26 accuracy 0.95:  21%|██        | 206/1000 [00:24&lt;01:32,  8.57it/s]loss 0.26 accuracy 0.95:  21%|██        | 207/1000 [00:24&lt;01:33,  8.50it/s]loss 0.17 accuracy 0.92:  21%|██        | 207/1000 [00:24&lt;01:33,  8.50it/s]loss 0.17 accuracy 0.92:  21%|██        | 208/1000 [00:24&lt;01:33,  8.44it/s]loss 0.16 accuracy 0.93:  21%|██        | 208/1000 [00:24&lt;01:33,  8.44it/s]loss 0.16 accuracy 0.93:  21%|██        | 209/1000 [00:24&lt;01:32,  8.52it/s]loss 0.09 accuracy 0.98:  21%|██        | 209/1000 [00:24&lt;01:32,  8.52it/s]loss 0.09 accuracy 0.98:  21%|██        | 210/1000 [00:24&lt;01:32,  8.55it/s]loss 0.25 accuracy 0.92:  21%|██        | 210/1000 [00:24&lt;01:32,  8.55it/s]loss 0.25 accuracy 0.92:  21%|██        | 211/1000 [00:24&lt;01:32,  8.55it/s]loss 0.17 accuracy 0.95:  21%|██        | 211/1000 [00:24&lt;01:32,  8.55it/s]loss 0.17 accuracy 0.95:  21%|██        | 212/1000 [00:24&lt;01:31,  8.66it/s]loss 0.25 accuracy 0.93:  21%|██        | 212/1000 [00:24&lt;01:31,  8.66it/s]loss 0.25 accuracy 0.93:  21%|██▏       | 213/1000 [00:24&lt;01:30,  8.69it/s]loss 0.27 accuracy 0.91:  21%|██▏       | 213/1000 [00:24&lt;01:30,  8.69it/s]loss 0.27 accuracy 0.91:  21%|██▏       | 214/1000 [00:24&lt;01:29,  8.77it/s]loss 0.16 accuracy 0.95:  21%|██▏       | 214/1000 [00:24&lt;01:29,  8.77it/s]loss 0.16 accuracy 0.95:  22%|██▏       | 215/1000 [00:24&lt;01:29,  8.81it/s]loss 0.19 accuracy 0.92:  22%|██▏       | 215/1000 [00:25&lt;01:29,  8.81it/s]loss 0.19 accuracy 0.92:  22%|██▏       | 216/1000 [00:25&lt;01:29,  8.74it/s]loss 0.23 accuracy 0.93:  22%|██▏       | 216/1000 [00:25&lt;01:29,  8.74it/s]loss 0.23 accuracy 0.93:  22%|██▏       | 217/1000 [00:25&lt;01:29,  8.76it/s]loss 0.12 accuracy 0.96:  22%|██▏       | 217/1000 [00:25&lt;01:29,  8.76it/s]loss 0.12 accuracy 0.96:  22%|██▏       | 218/1000 [00:25&lt;01:29,  8.78it/s]loss 0.18 accuracy 0.97:  22%|██▏       | 218/1000 [00:25&lt;01:29,  8.78it/s]loss 0.18 accuracy 0.97:  22%|██▏       | 219/1000 [00:25&lt;01:28,  8.83it/s]loss 0.26 accuracy 0.93:  22%|██▏       | 219/1000 [00:25&lt;01:28,  8.83it/s]loss 0.26 accuracy 0.93:  22%|██▏       | 220/1000 [00:25&lt;01:29,  8.70it/s]loss 0.17 accuracy 0.93:  22%|██▏       | 220/1000 [00:25&lt;01:29,  8.70it/s]loss 0.17 accuracy 0.93:  22%|██▏       | 221/1000 [00:25&lt;01:29,  8.71it/s]loss 0.23 accuracy 0.91:  22%|██▏       | 221/1000 [00:25&lt;01:29,  8.71it/s]loss 0.23 accuracy 0.91:  22%|██▏       | 222/1000 [00:25&lt;01:29,  8.70it/s]loss 0.24 accuracy 0.95:  22%|██▏       | 222/1000 [00:25&lt;01:29,  8.70it/s]loss 0.24 accuracy 0.95:  22%|██▏       | 223/1000 [00:25&lt;01:28,  8.74it/s]loss 0.13 accuracy 0.95:  22%|██▏       | 223/1000 [00:25&lt;01:28,  8.74it/s]loss 0.13 accuracy 0.95:  22%|██▏       | 224/1000 [00:25&lt;01:29,  8.71it/s]loss 0.10 accuracy 0.98:  22%|██▏       | 224/1000 [00:26&lt;01:29,  8.71it/s]loss 0.10 accuracy 0.98:  22%|██▎       | 225/1000 [00:26&lt;01:29,  8.66it/s]loss 0.10 accuracy 0.98:  22%|██▎       | 225/1000 [00:26&lt;01:29,  8.66it/s]loss 0.10 accuracy 0.98:  23%|██▎       | 226/1000 [00:26&lt;01:29,  8.66it/s]loss 0.12 accuracy 0.96:  23%|██▎       | 226/1000 [00:26&lt;01:29,  8.66it/s]loss 0.12 accuracy 0.96:  23%|██▎       | 227/1000 [00:26&lt;01:29,  8.66it/s]loss 0.20 accuracy 0.95:  23%|██▎       | 227/1000 [00:26&lt;01:29,  8.66it/s]loss 0.20 accuracy 0.95:  23%|██▎       | 228/1000 [00:26&lt;01:28,  8.70it/s]loss 0.20 accuracy 0.94:  23%|██▎       | 228/1000 [00:26&lt;01:28,  8.70it/s]loss 0.20 accuracy 0.94:  23%|██▎       | 229/1000 [00:26&lt;01:29,  8.64it/s]loss 0.23 accuracy 0.94:  23%|██▎       | 229/1000 [00:26&lt;01:29,  8.64it/s]loss 0.23 accuracy 0.94:  23%|██▎       | 230/1000 [00:26&lt;01:29,  8.61it/s]loss 0.20 accuracy 0.91:  23%|██▎       | 230/1000 [00:26&lt;01:29,  8.61it/s]loss 0.20 accuracy 0.91:  23%|██▎       | 231/1000 [00:26&lt;01:28,  8.71it/s]loss 0.13 accuracy 0.96:  23%|██▎       | 231/1000 [00:26&lt;01:28,  8.71it/s]loss 0.13 accuracy 0.96:  23%|██▎       | 232/1000 [00:26&lt;01:29,  8.57it/s]loss 0.17 accuracy 0.95:  23%|██▎       | 232/1000 [00:27&lt;01:29,  8.57it/s]loss 0.17 accuracy 0.95:  23%|██▎       | 233/1000 [00:27&lt;01:28,  8.63it/s]loss 0.15 accuracy 0.98:  23%|██▎       | 233/1000 [00:27&lt;01:28,  8.63it/s]loss 0.15 accuracy 0.98:  23%|██▎       | 234/1000 [00:27&lt;01:27,  8.71it/s]loss 0.21 accuracy 0.98:  23%|██▎       | 234/1000 [00:27&lt;01:27,  8.71it/s]loss 0.21 accuracy 0.98:  24%|██▎       | 235/1000 [00:27&lt;01:28,  8.62it/s]loss 0.16 accuracy 0.97:  24%|██▎       | 235/1000 [00:27&lt;01:28,  8.62it/s]loss 0.16 accuracy 0.97:  24%|██▎       | 236/1000 [00:27&lt;01:26,  8.79it/s]loss 0.14 accuracy 0.95:  24%|██▎       | 236/1000 [00:27&lt;01:26,  8.79it/s]loss 0.14 accuracy 0.95:  24%|██▎       | 237/1000 [00:27&lt;01:27,  8.74it/s]loss 0.23 accuracy 0.93:  24%|██▎       | 237/1000 [00:27&lt;01:27,  8.74it/s]loss 0.23 accuracy 0.93:  24%|██▍       | 238/1000 [00:27&lt;01:27,  8.68it/s]loss 0.20 accuracy 0.94:  24%|██▍       | 238/1000 [00:27&lt;01:27,  8.68it/s]loss 0.20 accuracy 0.94:  24%|██▍       | 239/1000 [00:27&lt;01:27,  8.68it/s]loss 0.21 accuracy 0.95:  24%|██▍       | 239/1000 [00:27&lt;01:27,  8.68it/s]loss 0.21 accuracy 0.95:  24%|██▍       | 240/1000 [00:27&lt;01:32,  8.17it/s]loss 0.25 accuracy 0.93:  24%|██▍       | 240/1000 [00:27&lt;01:32,  8.17it/s]loss 0.25 accuracy 0.93:  24%|██▍       | 241/1000 [00:27&lt;01:31,  8.34it/s]loss 0.12 accuracy 0.98:  24%|██▍       | 241/1000 [00:28&lt;01:31,  8.34it/s]loss 0.12 accuracy 0.98:  24%|██▍       | 242/1000 [00:28&lt;01:29,  8.44it/s]loss 0.13 accuracy 0.98:  24%|██▍       | 242/1000 [00:28&lt;01:29,  8.44it/s]loss 0.13 accuracy 0.98:  24%|██▍       | 243/1000 [00:28&lt;01:28,  8.58it/s]loss 0.20 accuracy 0.92:  24%|██▍       | 243/1000 [00:28&lt;01:28,  8.58it/s]loss 0.20 accuracy 0.92:  24%|██▍       | 244/1000 [00:28&lt;01:28,  8.52it/s]loss 0.25 accuracy 0.94:  24%|██▍       | 244/1000 [00:28&lt;01:28,  8.52it/s]loss 0.25 accuracy 0.94:  24%|██▍       | 245/1000 [00:28&lt;01:27,  8.67it/s]loss 0.12 accuracy 0.97:  24%|██▍       | 245/1000 [00:28&lt;01:27,  8.67it/s]loss 0.12 accuracy 0.97:  25%|██▍       | 246/1000 [00:28&lt;01:26,  8.73it/s]loss 0.24 accuracy 0.93:  25%|██▍       | 246/1000 [00:28&lt;01:26,  8.73it/s]loss 0.24 accuracy 0.93:  25%|██▍       | 247/1000 [00:28&lt;01:30,  8.33it/s]loss 0.23 accuracy 0.91:  25%|██▍       | 247/1000 [00:28&lt;01:30,  8.33it/s]loss 0.23 accuracy 0.91:  25%|██▍       | 248/1000 [00:28&lt;01:29,  8.40it/s]loss 0.18 accuracy 0.95:  25%|██▍       | 248/1000 [00:28&lt;01:29,  8.40it/s]loss 0.18 accuracy 0.95:  25%|██▍       | 249/1000 [00:28&lt;01:29,  8.43it/s]loss 0.15 accuracy 0.93:  25%|██▍       | 249/1000 [00:29&lt;01:29,  8.43it/s]loss 0.15 accuracy 0.93:  25%|██▌       | 250/1000 [00:29&lt;01:28,  8.48it/s]loss 0.11 accuracy 0.98:  25%|██▌       | 250/1000 [00:29&lt;01:28,  8.48it/s]loss 0.11 accuracy 0.98:  25%|██▌       | 251/1000 [00:29&lt;01:27,  8.56it/s]loss 0.21 accuracy 0.96:  25%|██▌       | 251/1000 [00:29&lt;01:27,  8.56it/s]loss 0.21 accuracy 0.96:  25%|██▌       | 252/1000 [00:29&lt;01:26,  8.64it/s]loss 0.22 accuracy 0.95:  25%|██▌       | 252/1000 [00:29&lt;01:26,  8.64it/s]loss 0.22 accuracy 0.95:  25%|██▌       | 253/1000 [00:29&lt;01:26,  8.67it/s]loss 0.20 accuracy 0.94:  25%|██▌       | 253/1000 [00:29&lt;01:26,  8.67it/s]loss 0.20 accuracy 0.94:  25%|██▌       | 254/1000 [00:29&lt;01:25,  8.69it/s]loss 0.13 accuracy 0.96:  25%|██▌       | 254/1000 [00:29&lt;01:25,  8.69it/s]loss 0.13 accuracy 0.96:  26%|██▌       | 255/1000 [00:29&lt;01:26,  8.58it/s]loss 0.09 accuracy 0.98:  26%|██▌       | 255/1000 [00:29&lt;01:26,  8.58it/s]loss 0.09 accuracy 0.98:  26%|██▌       | 256/1000 [00:29&lt;01:26,  8.56it/s]loss 0.08 accuracy 0.98:  26%|██▌       | 256/1000 [00:29&lt;01:26,  8.56it/s]loss 0.08 accuracy 0.98:  26%|██▌       | 257/1000 [00:29&lt;01:27,  8.51it/s]loss 0.16 accuracy 0.96:  26%|██▌       | 257/1000 [00:29&lt;01:27,  8.51it/s]loss 0.16 accuracy 0.96:  26%|██▌       | 258/1000 [00:29&lt;01:26,  8.53it/s]loss 0.13 accuracy 0.95:  26%|██▌       | 258/1000 [00:30&lt;01:26,  8.53it/s]loss 0.13 accuracy 0.95:  26%|██▌       | 259/1000 [00:30&lt;01:27,  8.50it/s]loss 0.17 accuracy 0.94:  26%|██▌       | 259/1000 [00:30&lt;01:27,  8.50it/s]loss 0.17 accuracy 0.94:  26%|██▌       | 260/1000 [00:30&lt;01:27,  8.49it/s]loss 0.14 accuracy 0.97:  26%|██▌       | 260/1000 [00:30&lt;01:27,  8.49it/s]loss 0.14 accuracy 0.97:  26%|██▌       | 261/1000 [00:30&lt;01:27,  8.47it/s]loss 0.16 accuracy 0.96:  26%|██▌       | 261/1000 [00:30&lt;01:27,  8.47it/s]loss 0.16 accuracy 0.96:  26%|██▌       | 262/1000 [00:30&lt;01:26,  8.55it/s]loss 0.18 accuracy 0.93:  26%|██▌       | 262/1000 [00:30&lt;01:26,  8.55it/s]loss 0.18 accuracy 0.93:  26%|██▋       | 263/1000 [00:30&lt;01:26,  8.52it/s]loss 0.35 accuracy 0.91:  26%|██▋       | 263/1000 [00:30&lt;01:26,  8.52it/s]loss 0.35 accuracy 0.91:  26%|██▋       | 264/1000 [00:30&lt;01:27,  8.45it/s]loss 0.35 accuracy 0.90:  26%|██▋       | 264/1000 [00:30&lt;01:27,  8.45it/s]loss 0.35 accuracy 0.90:  26%|██▋       | 265/1000 [00:30&lt;01:26,  8.47it/s]loss 0.27 accuracy 0.92:  26%|██▋       | 265/1000 [00:30&lt;01:26,  8.47it/s]loss 0.27 accuracy 0.92:  27%|██▋       | 266/1000 [00:30&lt;01:26,  8.52it/s]loss 0.13 accuracy 0.93:  27%|██▋       | 266/1000 [00:30&lt;01:26,  8.52it/s]loss 0.13 accuracy 0.93:  27%|██▋       | 267/1000 [00:30&lt;01:25,  8.53it/s]loss 0.13 accuracy 0.97:  27%|██▋       | 267/1000 [00:31&lt;01:25,  8.53it/s]loss 0.13 accuracy 0.97:  27%|██▋       | 268/1000 [00:31&lt;01:26,  8.47it/s]loss 0.10 accuracy 0.97:  27%|██▋       | 268/1000 [00:31&lt;01:26,  8.47it/s]loss 0.10 accuracy 0.97:  27%|██▋       | 269/1000 [00:31&lt;01:26,  8.48it/s]loss 0.21 accuracy 0.93:  27%|██▋       | 269/1000 [00:31&lt;01:26,  8.48it/s]loss 0.21 accuracy 0.93:  27%|██▋       | 270/1000 [00:31&lt;01:26,  8.49it/s]loss 0.24 accuracy 0.94:  27%|██▋       | 270/1000 [00:31&lt;01:26,  8.49it/s]loss 0.24 accuracy 0.94:  27%|██▋       | 271/1000 [00:31&lt;01:25,  8.51it/s]loss 0.16 accuracy 0.96:  27%|██▋       | 271/1000 [00:31&lt;01:25,  8.51it/s]loss 0.16 accuracy 0.96:  27%|██▋       | 272/1000 [00:31&lt;01:25,  8.50it/s]loss 0.13 accuracy 0.98:  27%|██▋       | 272/1000 [00:31&lt;01:25,  8.50it/s]loss 0.13 accuracy 0.98:  27%|██▋       | 273/1000 [00:31&lt;01:25,  8.47it/s]loss 0.15 accuracy 0.95:  27%|██▋       | 273/1000 [00:31&lt;01:25,  8.47it/s]loss 0.15 accuracy 0.95:  27%|██▋       | 274/1000 [00:31&lt;01:25,  8.50it/s]loss 0.13 accuracy 0.96:  27%|██▋       | 274/1000 [00:31&lt;01:25,  8.50it/s]loss 0.13 accuracy 0.96:  28%|██▊       | 275/1000 [00:31&lt;01:25,  8.43it/s]loss 0.09 accuracy 0.98:  28%|██▊       | 275/1000 [00:32&lt;01:25,  8.43it/s]loss 0.09 accuracy 0.98:  28%|██▊       | 276/1000 [00:32&lt;01:25,  8.47it/s]loss 0.24 accuracy 0.93:  28%|██▊       | 276/1000 [00:32&lt;01:25,  8.47it/s]loss 0.24 accuracy 0.93:  28%|██▊       | 277/1000 [00:32&lt;01:25,  8.48it/s]loss 0.13 accuracy 0.98:  28%|██▊       | 277/1000 [00:32&lt;01:25,  8.48it/s]loss 0.13 accuracy 0.98:  28%|██▊       | 278/1000 [00:32&lt;01:23,  8.63it/s]loss 0.19 accuracy 0.92:  28%|██▊       | 278/1000 [00:32&lt;01:23,  8.63it/s]loss 0.19 accuracy 0.92:  28%|██▊       | 279/1000 [00:32&lt;01:23,  8.63it/s]loss 0.16 accuracy 0.94:  28%|██▊       | 279/1000 [00:32&lt;01:23,  8.63it/s]loss 0.16 accuracy 0.94:  28%|██▊       | 280/1000 [00:32&lt;01:24,  8.47it/s]loss 0.06 accuracy 0.99:  28%|██▊       | 280/1000 [00:32&lt;01:24,  8.47it/s]loss 0.06 accuracy 0.99:  28%|██▊       | 281/1000 [00:32&lt;01:24,  8.54it/s]loss 0.11 accuracy 0.96:  28%|██▊       | 281/1000 [00:32&lt;01:24,  8.54it/s]loss 0.11 accuracy 0.96:  28%|██▊       | 282/1000 [00:32&lt;01:24,  8.49it/s]loss 0.18 accuracy 0.95:  28%|██▊       | 282/1000 [00:32&lt;01:24,  8.49it/s]loss 0.18 accuracy 0.95:  28%|██▊       | 283/1000 [00:32&lt;01:23,  8.62it/s]loss 0.10 accuracy 0.98:  28%|██▊       | 283/1000 [00:32&lt;01:23,  8.62it/s]loss 0.10 accuracy 0.98:  28%|██▊       | 284/1000 [00:32&lt;01:22,  8.66it/s]loss 0.14 accuracy 0.97:  28%|██▊       | 284/1000 [00:33&lt;01:22,  8.66it/s]loss 0.14 accuracy 0.97:  28%|██▊       | 285/1000 [00:33&lt;01:23,  8.60it/s]loss 0.12 accuracy 0.97:  28%|██▊       | 285/1000 [00:33&lt;01:23,  8.60it/s]loss 0.12 accuracy 0.97:  29%|██▊       | 286/1000 [00:33&lt;01:23,  8.51it/s]loss 0.05 accuracy 0.98:  29%|██▊       | 286/1000 [00:33&lt;01:23,  8.51it/s]loss 0.05 accuracy 0.98:  29%|██▊       | 287/1000 [00:33&lt;01:24,  8.48it/s]loss 0.15 accuracy 0.97:  29%|██▊       | 287/1000 [00:33&lt;01:24,  8.48it/s]loss 0.15 accuracy 0.97:  29%|██▉       | 288/1000 [00:33&lt;01:24,  8.44it/s]loss 0.16 accuracy 0.97:  29%|██▉       | 288/1000 [00:33&lt;01:24,  8.44it/s]loss 0.16 accuracy 0.97:  29%|██▉       | 289/1000 [00:33&lt;01:24,  8.44it/s]loss 0.17 accuracy 0.96:  29%|██▉       | 289/1000 [00:33&lt;01:24,  8.44it/s]loss 0.17 accuracy 0.96:  29%|██▉       | 290/1000 [00:33&lt;01:23,  8.46it/s]loss 0.25 accuracy 0.93:  29%|██▉       | 290/1000 [00:33&lt;01:23,  8.46it/s]loss 0.25 accuracy 0.93:  29%|██▉       | 291/1000 [00:33&lt;01:23,  8.48it/s]loss 0.34 accuracy 0.91:  29%|██▉       | 291/1000 [00:33&lt;01:23,  8.48it/s]loss 0.34 accuracy 0.91:  29%|██▉       | 292/1000 [00:33&lt;01:26,  8.14it/s]loss 0.15 accuracy 0.94:  29%|██▉       | 292/1000 [00:34&lt;01:26,  8.14it/s]loss 0.15 accuracy 0.94:  29%|██▉       | 293/1000 [00:34&lt;01:25,  8.24it/s]loss 0.10 accuracy 0.97:  29%|██▉       | 293/1000 [00:34&lt;01:25,  8.24it/s]loss 0.10 accuracy 0.97:  29%|██▉       | 294/1000 [00:34&lt;01:25,  8.27it/s]loss 0.09 accuracy 0.96:  29%|██▉       | 294/1000 [00:34&lt;01:25,  8.27it/s]loss 0.09 accuracy 0.96:  30%|██▉       | 295/1000 [00:34&lt;01:23,  8.40it/s]loss 0.18 accuracy 0.95:  30%|██▉       | 295/1000 [00:34&lt;01:23,  8.40it/s]loss 0.18 accuracy 0.95:  30%|██▉       | 296/1000 [00:34&lt;01:24,  8.37it/s]loss 0.18 accuracy 0.96:  30%|██▉       | 296/1000 [00:34&lt;01:24,  8.37it/s]loss 0.18 accuracy 0.96:  30%|██▉       | 297/1000 [00:34&lt;01:23,  8.41it/s]loss 0.06 accuracy 0.98:  30%|██▉       | 297/1000 [00:34&lt;01:23,  8.41it/s]loss 0.06 accuracy 0.98:  30%|██▉       | 298/1000 [00:34&lt;01:22,  8.46it/s]loss 0.13 accuracy 0.95:  30%|██▉       | 298/1000 [00:34&lt;01:22,  8.46it/s]loss 0.13 accuracy 0.95:  30%|██▉       | 299/1000 [00:34&lt;01:22,  8.49it/s]loss 0.13 accuracy 0.96:  30%|██▉       | 299/1000 [00:34&lt;01:22,  8.49it/s]loss 0.13 accuracy 0.96:  30%|███       | 300/1000 [00:34&lt;01:22,  8.44it/s]loss 0.19 accuracy 0.93:  30%|███       | 300/1000 [00:35&lt;01:22,  8.44it/s]loss 0.19 accuracy 0.93:  30%|███       | 301/1000 [00:35&lt;01:22,  8.44it/s]loss 0.12 accuracy 0.98:  30%|███       | 301/1000 [00:35&lt;01:22,  8.44it/s]loss 0.12 accuracy 0.98:  30%|███       | 302/1000 [00:35&lt;01:23,  8.34it/s]loss 0.10 accuracy 0.97:  30%|███       | 302/1000 [00:35&lt;01:23,  8.34it/s]loss 0.10 accuracy 0.97:  30%|███       | 303/1000 [00:35&lt;01:22,  8.41it/s]loss 0.11 accuracy 0.96:  30%|███       | 303/1000 [00:35&lt;01:22,  8.41it/s]loss 0.11 accuracy 0.96:  30%|███       | 304/1000 [00:35&lt;01:22,  8.49it/s]loss 0.13 accuracy 0.96:  30%|███       | 304/1000 [00:35&lt;01:22,  8.49it/s]loss 0.13 accuracy 0.96:  30%|███       | 305/1000 [00:35&lt;01:21,  8.52it/s]loss 0.23 accuracy 0.94:  30%|███       | 305/1000 [00:35&lt;01:21,  8.52it/s]loss 0.23 accuracy 0.94:  31%|███       | 306/1000 [00:35&lt;01:21,  8.47it/s]loss 0.13 accuracy 0.95:  31%|███       | 306/1000 [00:35&lt;01:21,  8.47it/s]loss 0.13 accuracy 0.95:  31%|███       | 307/1000 [00:35&lt;01:21,  8.52it/s]loss 0.16 accuracy 0.95:  31%|███       | 307/1000 [00:35&lt;01:21,  8.52it/s]loss 0.16 accuracy 0.95:  31%|███       | 308/1000 [00:35&lt;01:21,  8.47it/s]loss 0.14 accuracy 0.95:  31%|███       | 308/1000 [00:35&lt;01:21,  8.47it/s]loss 0.14 accuracy 0.95:  31%|███       | 309/1000 [00:35&lt;01:21,  8.44it/s]loss 0.16 accuracy 0.95:  31%|███       | 309/1000 [00:36&lt;01:21,  8.44it/s]loss 0.16 accuracy 0.95:  31%|███       | 310/1000 [00:36&lt;01:20,  8.52it/s]loss 0.31 accuracy 0.92:  31%|███       | 310/1000 [00:36&lt;01:20,  8.52it/s]loss 0.31 accuracy 0.92:  31%|███       | 311/1000 [00:36&lt;01:20,  8.54it/s]loss 0.10 accuracy 0.96:  31%|███       | 311/1000 [00:36&lt;01:20,  8.54it/s]loss 0.10 accuracy 0.96:  31%|███       | 312/1000 [00:36&lt;01:20,  8.54it/s]loss 0.11 accuracy 0.97:  31%|███       | 312/1000 [00:36&lt;01:20,  8.54it/s]loss 0.11 accuracy 0.97:  31%|███▏      | 313/1000 [00:36&lt;01:20,  8.52it/s]loss 0.06 accuracy 0.98:  31%|███▏      | 313/1000 [00:36&lt;01:20,  8.52it/s]loss 0.06 accuracy 0.98:  31%|███▏      | 314/1000 [00:36&lt;01:21,  8.43it/s]loss 0.10 accuracy 0.97:  31%|███▏      | 314/1000 [00:36&lt;01:21,  8.43it/s]loss 0.10 accuracy 0.97:  32%|███▏      | 315/1000 [00:36&lt;01:21,  8.44it/s]loss 0.16 accuracy 0.95:  32%|███▏      | 315/1000 [00:36&lt;01:21,  8.44it/s]loss 0.16 accuracy 0.95:  32%|███▏      | 316/1000 [00:36&lt;01:21,  8.44it/s]loss 0.29 accuracy 0.91:  32%|███▏      | 316/1000 [00:36&lt;01:21,  8.44it/s]loss 0.29 accuracy 0.91:  32%|███▏      | 317/1000 [00:36&lt;01:21,  8.38it/s]loss 0.07 accuracy 0.97:  32%|███▏      | 317/1000 [00:37&lt;01:21,  8.38it/s]loss 0.07 accuracy 0.97:  32%|███▏      | 318/1000 [00:37&lt;01:20,  8.47it/s]loss 0.08 accuracy 0.96:  32%|███▏      | 318/1000 [00:37&lt;01:20,  8.47it/s]loss 0.08 accuracy 0.96:  32%|███▏      | 319/1000 [00:37&lt;01:18,  8.66it/s]loss 0.11 accuracy 0.97:  32%|███▏      | 319/1000 [00:37&lt;01:18,  8.66it/s]loss 0.11 accuracy 0.97:  32%|███▏      | 320/1000 [00:37&lt;01:16,  8.87it/s]loss 0.05 accuracy 0.98:  32%|███▏      | 320/1000 [00:37&lt;01:16,  8.87it/s]loss 0.05 accuracy 0.98:  32%|███▏      | 321/1000 [00:37&lt;01:15,  8.98it/s]loss 0.15 accuracy 0.94:  32%|███▏      | 321/1000 [00:37&lt;01:15,  8.98it/s]loss 0.15 accuracy 0.94:  32%|███▏      | 322/1000 [00:37&lt;01:14,  9.04it/s]loss 0.24 accuracy 0.93:  32%|███▏      | 322/1000 [00:37&lt;01:14,  9.04it/s]loss 0.24 accuracy 0.93:  32%|███▏      | 323/1000 [00:37&lt;01:13,  9.16it/s]loss 0.28 accuracy 0.91:  32%|███▏      | 323/1000 [00:37&lt;01:13,  9.16it/s]loss 0.28 accuracy 0.91:  32%|███▏      | 324/1000 [00:37&lt;01:14,  9.09it/s]loss 0.16 accuracy 0.94:  32%|███▏      | 324/1000 [00:37&lt;01:14,  9.09it/s]loss 0.16 accuracy 0.94:  32%|███▎      | 325/1000 [00:37&lt;01:16,  8.83it/s]loss 0.13 accuracy 0.96:  32%|███▎      | 325/1000 [00:37&lt;01:16,  8.83it/s]loss 0.13 accuracy 0.96:  33%|███▎      | 326/1000 [00:37&lt;01:22,  8.17it/s]loss 0.18 accuracy 0.96:  33%|███▎      | 326/1000 [00:38&lt;01:22,  8.17it/s]loss 0.18 accuracy 0.96:  33%|███▎      | 327/1000 [00:38&lt;01:21,  8.26it/s]loss 0.25 accuracy 0.90:  33%|███▎      | 327/1000 [00:38&lt;01:21,  8.26it/s]loss 0.25 accuracy 0.90:  33%|███▎      | 328/1000 [00:38&lt;01:21,  8.24it/s]loss 0.26 accuracy 0.94:  33%|███▎      | 328/1000 [00:38&lt;01:21,  8.24it/s]loss 0.26 accuracy 0.94:  33%|███▎      | 329/1000 [00:38&lt;01:21,  8.25it/s]loss 0.12 accuracy 0.97:  33%|███▎      | 329/1000 [00:38&lt;01:21,  8.25it/s]loss 0.12 accuracy 0.97:  33%|███▎      | 330/1000 [00:38&lt;01:20,  8.36it/s]loss 0.09 accuracy 0.97:  33%|███▎      | 330/1000 [00:38&lt;01:20,  8.36it/s]loss 0.09 accuracy 0.97:  33%|███▎      | 331/1000 [00:38&lt;01:19,  8.38it/s]loss 0.14 accuracy 0.97:  33%|███▎      | 331/1000 [00:38&lt;01:19,  8.38it/s]loss 0.14 accuracy 0.97:  33%|███▎      | 332/1000 [00:38&lt;01:18,  8.48it/s]loss 0.19 accuracy 0.93:  33%|███▎      | 332/1000 [00:38&lt;01:18,  8.48it/s]loss 0.19 accuracy 0.93:  33%|███▎      | 333/1000 [00:38&lt;01:18,  8.53it/s]loss 0.25 accuracy 0.94:  33%|███▎      | 333/1000 [00:38&lt;01:18,  8.53it/s]loss 0.25 accuracy 0.94:  33%|███▎      | 334/1000 [00:38&lt;01:17,  8.61it/s]loss 0.09 accuracy 0.97:  33%|███▎      | 334/1000 [00:38&lt;01:17,  8.61it/s]loss 0.09 accuracy 0.97:  34%|███▎      | 335/1000 [00:38&lt;01:17,  8.54it/s]loss 0.16 accuracy 0.96:  34%|███▎      | 335/1000 [00:39&lt;01:17,  8.54it/s]loss 0.16 accuracy 0.96:  34%|███▎      | 336/1000 [00:39&lt;01:18,  8.47it/s]loss 0.15 accuracy 0.97:  34%|███▎      | 336/1000 [00:39&lt;01:18,  8.47it/s]loss 0.15 accuracy 0.97:  34%|███▎      | 337/1000 [00:39&lt;01:17,  8.51it/s]loss 0.20 accuracy 0.95:  34%|███▎      | 337/1000 [00:39&lt;01:17,  8.51it/s]loss 0.20 accuracy 0.95:  34%|███▍      | 338/1000 [00:39&lt;01:16,  8.64it/s]loss 0.10 accuracy 0.96:  34%|███▍      | 338/1000 [00:39&lt;01:16,  8.64it/s]loss 0.10 accuracy 0.96:  34%|███▍      | 339/1000 [00:39&lt;01:17,  8.49it/s]loss 0.26 accuracy 0.94:  34%|███▍      | 339/1000 [00:39&lt;01:17,  8.49it/s]loss 0.26 accuracy 0.94:  34%|███▍      | 340/1000 [00:39&lt;01:18,  8.43it/s]loss 0.13 accuracy 0.95:  34%|███▍      | 340/1000 [00:39&lt;01:18,  8.43it/s]loss 0.13 accuracy 0.95:  34%|███▍      | 341/1000 [00:39&lt;01:18,  8.42it/s]loss 0.13 accuracy 0.97:  34%|███▍      | 341/1000 [00:39&lt;01:18,  8.42it/s]loss 0.13 accuracy 0.97:  34%|███▍      | 342/1000 [00:39&lt;01:17,  8.47it/s]loss 0.09 accuracy 0.97:  34%|███▍      | 342/1000 [00:39&lt;01:17,  8.47it/s]loss 0.09 accuracy 0.97:  34%|███▍      | 343/1000 [00:39&lt;01:17,  8.48it/s]loss 0.09 accuracy 0.98:  34%|███▍      | 343/1000 [00:40&lt;01:17,  8.48it/s]loss 0.09 accuracy 0.98:  34%|███▍      | 344/1000 [00:40&lt;01:16,  8.52it/s]loss 0.11 accuracy 0.97:  34%|███▍      | 344/1000 [00:40&lt;01:16,  8.52it/s]loss 0.11 accuracy 0.97:  34%|███▍      | 345/1000 [00:40&lt;01:17,  8.49it/s]loss 0.20 accuracy 0.95:  34%|███▍      | 345/1000 [00:40&lt;01:17,  8.49it/s]loss 0.20 accuracy 0.95:  35%|███▍      | 346/1000 [00:40&lt;01:16,  8.60it/s]loss 0.13 accuracy 0.95:  35%|███▍      | 346/1000 [00:40&lt;01:16,  8.60it/s]loss 0.13 accuracy 0.95:  35%|███▍      | 347/1000 [00:40&lt;01:15,  8.61it/s]loss 0.11 accuracy 0.96:  35%|███▍      | 347/1000 [00:40&lt;01:15,  8.61it/s]loss 0.11 accuracy 0.96:  35%|███▍      | 348/1000 [00:40&lt;01:16,  8.57it/s]loss 0.09 accuracy 0.96:  35%|███▍      | 348/1000 [00:40&lt;01:16,  8.57it/s]loss 0.09 accuracy 0.96:  35%|███▍      | 349/1000 [00:40&lt;01:15,  8.57it/s]loss 0.09 accuracy 0.97:  35%|███▍      | 349/1000 [00:40&lt;01:15,  8.57it/s]loss 0.09 accuracy 0.97:  35%|███▌      | 350/1000 [00:40&lt;01:16,  8.48it/s]loss 0.21 accuracy 0.95:  35%|███▌      | 350/1000 [00:40&lt;01:16,  8.48it/s]loss 0.21 accuracy 0.95:  35%|███▌      | 351/1000 [00:40&lt;01:15,  8.57it/s]loss 0.11 accuracy 0.96:  35%|███▌      | 351/1000 [00:40&lt;01:15,  8.57it/s]loss 0.11 accuracy 0.96:  35%|███▌      | 352/1000 [00:40&lt;01:15,  8.55it/s]loss 0.12 accuracy 0.96:  35%|███▌      | 352/1000 [00:41&lt;01:15,  8.55it/s]loss 0.12 accuracy 0.96:  35%|███▌      | 353/1000 [00:41&lt;01:15,  8.51it/s]loss 0.10 accuracy 0.96:  35%|███▌      | 353/1000 [00:41&lt;01:15,  8.51it/s]loss 0.10 accuracy 0.96:  35%|███▌      | 354/1000 [00:41&lt;01:15,  8.55it/s]loss 0.23 accuracy 0.95:  35%|███▌      | 354/1000 [00:41&lt;01:15,  8.55it/s]loss 0.23 accuracy 0.95:  36%|███▌      | 355/1000 [00:41&lt;01:14,  8.63it/s]loss 0.17 accuracy 0.93:  36%|███▌      | 355/1000 [00:41&lt;01:14,  8.63it/s]loss 0.17 accuracy 0.93:  36%|███▌      | 356/1000 [00:41&lt;01:15,  8.51it/s]loss 0.17 accuracy 0.95:  36%|███▌      | 356/1000 [00:41&lt;01:15,  8.51it/s]loss 0.17 accuracy 0.95:  36%|███▌      | 357/1000 [00:41&lt;01:15,  8.53it/s]loss 0.17 accuracy 0.95:  36%|███▌      | 357/1000 [00:41&lt;01:15,  8.53it/s]loss 0.17 accuracy 0.95:  36%|███▌      | 358/1000 [00:41&lt;01:15,  8.46it/s]loss 0.06 accuracy 0.99:  36%|███▌      | 358/1000 [00:41&lt;01:15,  8.46it/s]loss 0.06 accuracy 0.99:  36%|███▌      | 359/1000 [00:41&lt;01:14,  8.56it/s]loss 0.08 accuracy 0.96:  36%|███▌      | 359/1000 [00:41&lt;01:14,  8.56it/s]loss 0.08 accuracy 0.96:  36%|███▌      | 360/1000 [00:41&lt;01:14,  8.63it/s]loss 0.11 accuracy 0.98:  36%|███▌      | 360/1000 [00:42&lt;01:14,  8.63it/s]loss 0.11 accuracy 0.98:  36%|███▌      | 361/1000 [00:42&lt;01:14,  8.59it/s]loss 0.20 accuracy 0.95:  36%|███▌      | 361/1000 [00:42&lt;01:14,  8.59it/s]loss 0.20 accuracy 0.95:  36%|███▌      | 362/1000 [00:42&lt;01:14,  8.56it/s]loss 0.08 accuracy 0.98:  36%|███▌      | 362/1000 [00:42&lt;01:14,  8.56it/s]loss 0.08 accuracy 0.98:  36%|███▋      | 363/1000 [00:42&lt;01:14,  8.56it/s]loss 0.10 accuracy 0.98:  36%|███▋      | 363/1000 [00:42&lt;01:14,  8.56it/s]loss 0.10 accuracy 0.98:  36%|███▋      | 364/1000 [00:42&lt;01:14,  8.53it/s]loss 0.11 accuracy 0.98:  36%|███▋      | 364/1000 [00:42&lt;01:14,  8.53it/s]loss 0.11 accuracy 0.98:  36%|███▋      | 365/1000 [00:42&lt;01:14,  8.53it/s]loss 0.17 accuracy 0.95:  36%|███▋      | 365/1000 [00:42&lt;01:14,  8.53it/s]loss 0.17 accuracy 0.95:  37%|███▋      | 366/1000 [00:42&lt;01:12,  8.73it/s]loss 0.08 accuracy 0.98:  37%|███▋      | 366/1000 [00:42&lt;01:12,  8.73it/s]loss 0.08 accuracy 0.98:  37%|███▋      | 367/1000 [00:42&lt;01:12,  8.75it/s]loss 0.15 accuracy 0.95:  37%|███▋      | 367/1000 [00:42&lt;01:12,  8.75it/s]loss 0.15 accuracy 0.95:  37%|███▋      | 368/1000 [00:42&lt;01:12,  8.70it/s]loss 0.17 accuracy 0.96:  37%|███▋      | 368/1000 [00:42&lt;01:12,  8.70it/s]loss 0.17 accuracy 0.96:  37%|███▋      | 369/1000 [00:42&lt;01:13,  8.62it/s]loss 0.20 accuracy 0.95:  37%|███▋      | 369/1000 [00:43&lt;01:13,  8.62it/s]loss 0.20 accuracy 0.95:  37%|███▋      | 370/1000 [00:43&lt;01:13,  8.55it/s]loss 0.17 accuracy 0.95:  37%|███▋      | 370/1000 [00:43&lt;01:13,  8.55it/s]loss 0.17 accuracy 0.95:  37%|███▋      | 371/1000 [00:43&lt;01:13,  8.51it/s]loss 0.10 accuracy 0.97:  37%|███▋      | 371/1000 [00:43&lt;01:13,  8.51it/s]loss 0.10 accuracy 0.97:  37%|███▋      | 372/1000 [00:43&lt;01:14,  8.44it/s]loss 0.09 accuracy 0.98:  37%|███▋      | 372/1000 [00:43&lt;01:14,  8.44it/s]loss 0.09 accuracy 0.98:  37%|███▋      | 373/1000 [00:43&lt;01:12,  8.66it/s]loss 0.17 accuracy 0.95:  37%|███▋      | 373/1000 [00:43&lt;01:12,  8.66it/s]loss 0.17 accuracy 0.95:  37%|███▋      | 374/1000 [00:43&lt;01:12,  8.58it/s]loss 0.12 accuracy 0.97:  37%|███▋      | 374/1000 [00:43&lt;01:12,  8.58it/s]loss 0.12 accuracy 0.97:  38%|███▊      | 375/1000 [00:43&lt;01:12,  8.63it/s]loss 0.24 accuracy 0.92:  38%|███▊      | 375/1000 [00:43&lt;01:12,  8.63it/s]loss 0.24 accuracy 0.92:  38%|███▊      | 376/1000 [00:43&lt;01:12,  8.65it/s]loss 0.04 accuracy 0.99:  38%|███▊      | 376/1000 [00:43&lt;01:12,  8.65it/s]loss 0.04 accuracy 0.99:  38%|███▊      | 377/1000 [00:43&lt;01:12,  8.56it/s]loss 0.04 accuracy 0.99:  38%|███▊      | 377/1000 [00:44&lt;01:12,  8.56it/s]loss 0.04 accuracy 0.99:  38%|███▊      | 378/1000 [00:44&lt;01:12,  8.55it/s]loss 0.08 accuracy 0.98:  38%|███▊      | 378/1000 [00:44&lt;01:12,  8.55it/s]loss 0.08 accuracy 0.98:  38%|███▊      | 379/1000 [00:44&lt;01:11,  8.73it/s]loss 0.07 accuracy 0.99:  38%|███▊      | 379/1000 [00:44&lt;01:11,  8.73it/s]loss 0.07 accuracy 0.99:  38%|███▊      | 380/1000 [00:44&lt;01:11,  8.71it/s]loss 0.18 accuracy 0.92:  38%|███▊      | 380/1000 [00:44&lt;01:11,  8.71it/s]loss 0.18 accuracy 0.92:  38%|███▊      | 381/1000 [00:44&lt;01:09,  8.89it/s]loss 0.11 accuracy 0.96:  38%|███▊      | 381/1000 [00:44&lt;01:09,  8.89it/s]loss 0.11 accuracy 0.96:  38%|███▊      | 382/1000 [00:44&lt;01:09,  8.91it/s]loss 0.17 accuracy 0.97:  38%|███▊      | 382/1000 [00:44&lt;01:09,  8.91it/s]loss 0.17 accuracy 0.97:  38%|███▊      | 383/1000 [00:44&lt;01:09,  8.89it/s]loss 0.23 accuracy 0.93:  38%|███▊      | 383/1000 [00:44&lt;01:09,  8.89it/s]loss 0.23 accuracy 0.93:  38%|███▊      | 384/1000 [00:44&lt;01:10,  8.76it/s]loss 0.07 accuracy 0.98:  38%|███▊      | 384/1000 [00:44&lt;01:10,  8.76it/s]loss 0.07 accuracy 0.98:  38%|███▊      | 385/1000 [00:44&lt;01:09,  8.79it/s]loss 0.04 accuracy 0.99:  38%|███▊      | 385/1000 [00:44&lt;01:09,  8.79it/s]loss 0.04 accuracy 0.99:  39%|███▊      | 386/1000 [00:44&lt;01:10,  8.71it/s]loss 0.22 accuracy 0.93:  39%|███▊      | 386/1000 [00:45&lt;01:10,  8.71it/s]loss 0.22 accuracy 0.93:  39%|███▊      | 387/1000 [00:45&lt;01:10,  8.71it/s]loss 0.16 accuracy 0.94:  39%|███▊      | 387/1000 [00:45&lt;01:10,  8.71it/s]loss 0.16 accuracy 0.94:  39%|███▉      | 388/1000 [00:45&lt;01:10,  8.72it/s]loss 0.14 accuracy 0.98:  39%|███▉      | 388/1000 [00:45&lt;01:10,  8.72it/s]loss 0.14 accuracy 0.98:  39%|███▉      | 389/1000 [00:45&lt;01:09,  8.74it/s]loss 0.17 accuracy 0.95:  39%|███▉      | 389/1000 [00:45&lt;01:09,  8.74it/s]loss 0.17 accuracy 0.95:  39%|███▉      | 390/1000 [00:45&lt;01:08,  8.90it/s]loss 0.10 accuracy 0.98:  39%|███▉      | 390/1000 [00:45&lt;01:08,  8.90it/s]loss 0.10 accuracy 0.98:  39%|███▉      | 391/1000 [00:45&lt;01:11,  8.47it/s]loss 0.16 accuracy 0.94:  39%|███▉      | 391/1000 [00:45&lt;01:11,  8.47it/s]loss 0.16 accuracy 0.94:  39%|███▉      | 392/1000 [00:45&lt;01:11,  8.54it/s]loss 0.20 accuracy 0.93:  39%|███▉      | 392/1000 [00:45&lt;01:11,  8.54it/s]loss 0.20 accuracy 0.93:  39%|███▉      | 393/1000 [00:45&lt;01:20,  7.56it/s]loss 0.11 accuracy 0.95:  39%|███▉      | 393/1000 [00:45&lt;01:20,  7.56it/s]loss 0.11 accuracy 0.95:  39%|███▉      | 394/1000 [00:45&lt;01:17,  7.81it/s]loss 0.07 accuracy 0.98:  39%|███▉      | 394/1000 [00:46&lt;01:17,  7.81it/s]loss 0.07 accuracy 0.98:  40%|███▉      | 395/1000 [00:46&lt;01:15,  7.98it/s]loss 0.09 accuracy 0.98:  40%|███▉      | 395/1000 [00:46&lt;01:15,  7.98it/s]loss 0.09 accuracy 0.98:  40%|███▉      | 396/1000 [00:46&lt;01:14,  8.14it/s]loss 0.11 accuracy 0.96:  40%|███▉      | 396/1000 [00:46&lt;01:14,  8.14it/s]loss 0.11 accuracy 0.96:  40%|███▉      | 397/1000 [00:46&lt;01:12,  8.29it/s]loss 0.06 accuracy 0.98:  40%|███▉      | 397/1000 [00:46&lt;01:12,  8.29it/s]loss 0.06 accuracy 0.98:  40%|███▉      | 398/1000 [00:46&lt;01:11,  8.43it/s]loss 0.14 accuracy 0.96:  40%|███▉      | 398/1000 [00:46&lt;01:11,  8.43it/s]loss 0.14 accuracy 0.96:  40%|███▉      | 399/1000 [00:46&lt;01:09,  8.65it/s]loss 0.09 accuracy 0.97:  40%|███▉      | 399/1000 [00:46&lt;01:09,  8.65it/s]loss 0.09 accuracy 0.97:  40%|████      | 400/1000 [00:46&lt;01:08,  8.73it/s]loss 0.16 accuracy 0.96:  40%|████      | 400/1000 [00:46&lt;01:08,  8.73it/s]loss 0.16 accuracy 0.96:  40%|████      | 401/1000 [00:46&lt;01:09,  8.68it/s]loss 0.14 accuracy 0.96:  40%|████      | 401/1000 [00:46&lt;01:09,  8.68it/s]loss 0.14 accuracy 0.96:  40%|████      | 402/1000 [00:46&lt;01:08,  8.70it/s]loss 0.09 accuracy 0.95:  40%|████      | 402/1000 [00:46&lt;01:08,  8.70it/s]loss 0.09 accuracy 0.95:  40%|████      | 403/1000 [00:46&lt;01:07,  8.78it/s]loss 0.16 accuracy 0.98:  40%|████      | 403/1000 [00:47&lt;01:07,  8.78it/s]loss 0.16 accuracy 0.98:  40%|████      | 404/1000 [00:47&lt;01:07,  8.80it/s]loss 0.10 accuracy 0.98:  40%|████      | 404/1000 [00:47&lt;01:07,  8.80it/s]loss 0.10 accuracy 0.98:  40%|████      | 405/1000 [00:47&lt;01:08,  8.70it/s]loss 0.05 accuracy 0.99:  40%|████      | 405/1000 [00:47&lt;01:08,  8.70it/s]loss 0.05 accuracy 0.99:  41%|████      | 406/1000 [00:47&lt;01:08,  8.71it/s]loss 0.12 accuracy 0.95:  41%|████      | 406/1000 [00:47&lt;01:08,  8.71it/s]loss 0.12 accuracy 0.95:  41%|████      | 407/1000 [00:47&lt;01:08,  8.64it/s]loss 0.15 accuracy 0.96:  41%|████      | 407/1000 [00:47&lt;01:08,  8.64it/s]loss 0.15 accuracy 0.96:  41%|████      | 408/1000 [00:47&lt;01:07,  8.78it/s]loss 0.06 accuracy 0.99:  41%|████      | 408/1000 [00:47&lt;01:07,  8.78it/s]loss 0.06 accuracy 0.99:  41%|████      | 409/1000 [00:47&lt;01:08,  8.66it/s]loss 0.15 accuracy 0.95:  41%|████      | 409/1000 [00:47&lt;01:08,  8.66it/s]loss 0.15 accuracy 0.95:  41%|████      | 410/1000 [00:47&lt;01:08,  8.58it/s]loss 0.27 accuracy 0.92:  41%|████      | 410/1000 [00:47&lt;01:08,  8.58it/s]loss 0.27 accuracy 0.92:  41%|████      | 411/1000 [00:47&lt;01:06,  8.80it/s]loss 0.12 accuracy 0.97:  41%|████      | 411/1000 [00:47&lt;01:06,  8.80it/s]loss 0.12 accuracy 0.97:  41%|████      | 412/1000 [00:47&lt;01:04,  9.08it/s]loss 0.11 accuracy 0.95:  41%|████      | 412/1000 [00:48&lt;01:04,  9.08it/s]loss 0.11 accuracy 0.95:  41%|████▏     | 413/1000 [00:48&lt;01:03,  9.30it/s]loss 0.13 accuracy 0.97:  41%|████▏     | 413/1000 [00:48&lt;01:03,  9.30it/s]loss 0.13 accuracy 0.97:  41%|████▏     | 414/1000 [00:48&lt;01:02,  9.37it/s]loss 0.19 accuracy 0.95:  41%|████▏     | 414/1000 [00:48&lt;01:02,  9.37it/s]loss 0.19 accuracy 0.95:  42%|████▏     | 415/1000 [00:48&lt;01:02,  9.38it/s]loss 0.07 accuracy 0.98:  42%|████▏     | 415/1000 [00:48&lt;01:02,  9.38it/s]loss 0.07 accuracy 0.98:  42%|████▏     | 416/1000 [00:48&lt;01:01,  9.42it/s]loss 0.12 accuracy 0.98:  42%|████▏     | 416/1000 [00:48&lt;01:01,  9.42it/s]loss 0.12 accuracy 0.98:  42%|████▏     | 417/1000 [00:48&lt;01:01,  9.47it/s]loss 0.07 accuracy 0.98:  42%|████▏     | 417/1000 [00:48&lt;01:01,  9.47it/s]loss 0.07 accuracy 0.98:  42%|████▏     | 418/1000 [00:48&lt;01:00,  9.56it/s]loss 0.17 accuracy 0.95:  42%|████▏     | 418/1000 [00:48&lt;01:00,  9.56it/s]loss 0.17 accuracy 0.95:  42%|████▏     | 419/1000 [00:48&lt;01:12,  8.06it/s]loss 0.13 accuracy 0.97:  42%|████▏     | 419/1000 [00:48&lt;01:12,  8.06it/s]loss 0.13 accuracy 0.97:  42%|████▏     | 420/1000 [00:48&lt;01:20,  7.16it/s]loss 0.09 accuracy 0.98:  42%|████▏     | 420/1000 [00:49&lt;01:20,  7.16it/s]loss 0.09 accuracy 0.98:  42%|████▏     | 421/1000 [00:49&lt;01:14,  7.80it/s]loss 0.13 accuracy 0.98:  42%|████▏     | 421/1000 [00:49&lt;01:14,  7.80it/s]loss 0.13 accuracy 0.98:  42%|████▏     | 422/1000 [00:49&lt;01:09,  8.27it/s]loss 0.16 accuracy 0.95:  42%|████▏     | 422/1000 [00:49&lt;01:09,  8.27it/s]loss 0.16 accuracy 0.95:  42%|████▏     | 423/1000 [00:49&lt;01:07,  8.55it/s]loss 0.19 accuracy 0.95:  42%|████▏     | 423/1000 [00:49&lt;01:07,  8.55it/s]loss 0.19 accuracy 0.95:  42%|████▏     | 424/1000 [00:49&lt;01:10,  8.20it/s]loss 0.18 accuracy 0.93:  42%|████▏     | 424/1000 [00:49&lt;01:10,  8.20it/s]loss 0.18 accuracy 0.93:  42%|████▎     | 425/1000 [00:49&lt;01:09,  8.33it/s]loss 0.12 accuracy 0.98:  42%|████▎     | 425/1000 [00:49&lt;01:09,  8.33it/s]loss 0.12 accuracy 0.98:  43%|████▎     | 426/1000 [00:49&lt;01:06,  8.69it/s]loss 0.09 accuracy 0.96:  43%|████▎     | 426/1000 [00:49&lt;01:06,  8.69it/s]loss 0.09 accuracy 0.96:  43%|████▎     | 427/1000 [00:49&lt;01:04,  8.85it/s]loss 0.18 accuracy 0.96:  43%|████▎     | 427/1000 [00:49&lt;01:04,  8.85it/s]loss 0.18 accuracy 0.96:  43%|████▎     | 428/1000 [00:49&lt;01:04,  8.90it/s]loss 0.08 accuracy 0.98:  43%|████▎     | 428/1000 [00:49&lt;01:04,  8.90it/s]loss 0.08 accuracy 0.98:  43%|████▎     | 429/1000 [00:49&lt;01:03,  9.02it/s]loss 0.09 accuracy 0.98:  43%|████▎     | 429/1000 [00:50&lt;01:03,  9.02it/s]loss 0.09 accuracy 0.98:  43%|████▎     | 430/1000 [00:50&lt;01:03,  9.01it/s]loss 0.13 accuracy 0.96:  43%|████▎     | 430/1000 [00:50&lt;01:03,  9.01it/s]loss 0.13 accuracy 0.96:  43%|████▎     | 431/1000 [00:50&lt;01:02,  9.03it/s]loss 0.09 accuracy 0.96:  43%|████▎     | 431/1000 [00:50&lt;01:02,  9.03it/s]loss 0.09 accuracy 0.96:  43%|████▎     | 432/1000 [00:50&lt;01:03,  8.88it/s]loss 0.15 accuracy 0.95:  43%|████▎     | 432/1000 [00:50&lt;01:03,  8.88it/s]loss 0.15 accuracy 0.95:  43%|████▎     | 433/1000 [00:50&lt;01:03,  8.89it/s]loss 0.08 accuracy 0.98:  43%|████▎     | 433/1000 [00:50&lt;01:03,  8.89it/s]loss 0.08 accuracy 0.98:  43%|████▎     | 434/1000 [00:50&lt;01:04,  8.76it/s]loss 0.09 accuracy 0.97:  43%|████▎     | 434/1000 [00:50&lt;01:04,  8.76it/s]loss 0.09 accuracy 0.97:  44%|████▎     | 435/1000 [00:50&lt;01:04,  8.82it/s]loss 0.19 accuracy 0.95:  44%|████▎     | 435/1000 [00:50&lt;01:04,  8.82it/s]loss 0.19 accuracy 0.95:  44%|████▎     | 436/1000 [00:50&lt;01:04,  8.72it/s]loss 0.13 accuracy 0.95:  44%|████▎     | 436/1000 [00:50&lt;01:04,  8.72it/s]loss 0.13 accuracy 0.95:  44%|████▎     | 437/1000 [00:50&lt;01:04,  8.68it/s]loss 0.14 accuracy 0.98:  44%|████▎     | 437/1000 [00:50&lt;01:04,  8.68it/s]loss 0.14 accuracy 0.98:  44%|████▍     | 438/1000 [00:50&lt;01:05,  8.61it/s]loss 0.04 accuracy 0.99:  44%|████▍     | 438/1000 [00:51&lt;01:05,  8.61it/s]loss 0.04 accuracy 0.99:  44%|████▍     | 439/1000 [00:51&lt;01:05,  8.61it/s]loss 0.13 accuracy 0.98:  44%|████▍     | 439/1000 [00:51&lt;01:05,  8.61it/s]loss 0.13 accuracy 0.98:  44%|████▍     | 440/1000 [00:51&lt;01:04,  8.63it/s]loss 0.07 accuracy 0.98:  44%|████▍     | 440/1000 [00:51&lt;01:04,  8.63it/s]loss 0.07 accuracy 0.98:  44%|████▍     | 441/1000 [00:51&lt;01:04,  8.72it/s]loss 0.07 accuracy 0.98:  44%|████▍     | 441/1000 [00:51&lt;01:04,  8.72it/s]loss 0.07 accuracy 0.98:  44%|████▍     | 442/1000 [00:51&lt;01:03,  8.80it/s]loss 0.15 accuracy 0.95:  44%|████▍     | 442/1000 [00:51&lt;01:03,  8.80it/s]loss 0.15 accuracy 0.95:  44%|████▍     | 443/1000 [00:51&lt;01:03,  8.80it/s]loss 0.07 accuracy 0.99:  44%|████▍     | 443/1000 [00:51&lt;01:03,  8.80it/s]loss 0.07 accuracy 0.99:  44%|████▍     | 444/1000 [00:51&lt;01:03,  8.71it/s]loss 0.11 accuracy 0.97:  44%|████▍     | 444/1000 [00:51&lt;01:03,  8.71it/s]loss 0.11 accuracy 0.97:  44%|████▍     | 445/1000 [00:51&lt;01:04,  8.62it/s]loss 0.19 accuracy 0.95:  44%|████▍     | 445/1000 [00:51&lt;01:04,  8.62it/s]loss 0.19 accuracy 0.95:  45%|████▍     | 446/1000 [00:51&lt;01:04,  8.59it/s]loss 0.09 accuracy 0.98:  45%|████▍     | 446/1000 [00:51&lt;01:04,  8.59it/s]loss 0.09 accuracy 0.98:  45%|████▍     | 447/1000 [00:51&lt;01:04,  8.51it/s]loss 0.20 accuracy 0.92:  45%|████▍     | 447/1000 [00:52&lt;01:04,  8.51it/s]loss 0.20 accuracy 0.92:  45%|████▍     | 448/1000 [00:52&lt;01:04,  8.56it/s]loss 0.10 accuracy 0.97:  45%|████▍     | 448/1000 [00:52&lt;01:04,  8.56it/s]loss 0.10 accuracy 0.97:  45%|████▍     | 449/1000 [00:52&lt;01:04,  8.51it/s]loss 0.16 accuracy 0.95:  45%|████▍     | 449/1000 [00:52&lt;01:04,  8.51it/s]loss 0.16 accuracy 0.95:  45%|████▌     | 450/1000 [00:52&lt;01:04,  8.49it/s]loss 0.18 accuracy 0.97:  45%|████▌     | 450/1000 [00:52&lt;01:04,  8.49it/s]loss 0.18 accuracy 0.97:  45%|████▌     | 451/1000 [00:52&lt;01:04,  8.45it/s]loss 0.17 accuracy 0.96:  45%|████▌     | 451/1000 [00:52&lt;01:04,  8.45it/s]loss 0.17 accuracy 0.96:  45%|████▌     | 452/1000 [00:52&lt;01:04,  8.46it/s]loss 0.19 accuracy 0.93:  45%|████▌     | 452/1000 [00:52&lt;01:04,  8.46it/s]loss 0.19 accuracy 0.93:  45%|████▌     | 453/1000 [00:52&lt;01:03,  8.55it/s]loss 0.04 accuracy 0.99:  45%|████▌     | 453/1000 [00:52&lt;01:03,  8.55it/s]loss 0.04 accuracy 0.99:  45%|████▌     | 454/1000 [00:52&lt;01:03,  8.54it/s]loss 0.09 accuracy 0.98:  45%|████▌     | 454/1000 [00:52&lt;01:03,  8.54it/s]loss 0.09 accuracy 0.98:  46%|████▌     | 455/1000 [00:52&lt;01:03,  8.56it/s]loss 0.08 accuracy 0.98:  46%|████▌     | 455/1000 [00:53&lt;01:03,  8.56it/s]loss 0.08 accuracy 0.98:  46%|████▌     | 456/1000 [00:53&lt;01:03,  8.59it/s]loss 0.26 accuracy 0.93:  46%|████▌     | 456/1000 [00:53&lt;01:03,  8.59it/s]loss 0.26 accuracy 0.93:  46%|████▌     | 457/1000 [00:53&lt;01:03,  8.57it/s]loss 0.16 accuracy 0.95:  46%|████▌     | 457/1000 [00:53&lt;01:03,  8.57it/s]loss 0.16 accuracy 0.95:  46%|████▌     | 458/1000 [00:53&lt;01:03,  8.60it/s]loss 0.13 accuracy 0.96:  46%|████▌     | 458/1000 [00:53&lt;01:03,  8.60it/s]loss 0.13 accuracy 0.96:  46%|████▌     | 459/1000 [00:53&lt;01:03,  8.55it/s]loss 0.11 accuracy 0.96:  46%|████▌     | 459/1000 [00:53&lt;01:03,  8.55it/s]loss 0.11 accuracy 0.96:  46%|████▌     | 460/1000 [00:53&lt;01:02,  8.63it/s]loss 0.10 accuracy 0.96:  46%|████▌     | 460/1000 [00:53&lt;01:02,  8.63it/s]loss 0.10 accuracy 0.96:  46%|████▌     | 461/1000 [00:53&lt;01:01,  8.71it/s]loss 0.23 accuracy 0.94:  46%|████▌     | 461/1000 [00:53&lt;01:01,  8.71it/s]loss 0.23 accuracy 0.94:  46%|████▌     | 462/1000 [00:53&lt;01:02,  8.64it/s]loss 0.13 accuracy 0.95:  46%|████▌     | 462/1000 [00:53&lt;01:02,  8.64it/s]loss 0.13 accuracy 0.95:  46%|████▋     | 463/1000 [00:53&lt;01:02,  8.63it/s]loss 0.10 accuracy 0.97:  46%|████▋     | 463/1000 [00:53&lt;01:02,  8.63it/s]loss 0.10 accuracy 0.97:  46%|████▋     | 464/1000 [00:53&lt;01:01,  8.67it/s]loss 0.21 accuracy 0.96:  46%|████▋     | 464/1000 [00:54&lt;01:01,  8.67it/s]loss 0.21 accuracy 0.96:  46%|████▋     | 465/1000 [00:54&lt;01:01,  8.64it/s]loss 0.04 accuracy 0.99:  46%|████▋     | 465/1000 [00:54&lt;01:01,  8.64it/s]loss 0.04 accuracy 0.99:  47%|████▋     | 466/1000 [00:54&lt;01:01,  8.62it/s]loss 0.11 accuracy 0.97:  47%|████▋     | 466/1000 [00:54&lt;01:01,  8.62it/s]loss 0.11 accuracy 0.97:  47%|████▋     | 467/1000 [00:54&lt;01:02,  8.51it/s]loss 0.08 accuracy 0.97:  47%|████▋     | 467/1000 [00:54&lt;01:02,  8.51it/s]loss 0.08 accuracy 0.97:  47%|████▋     | 468/1000 [00:54&lt;01:02,  8.53it/s]loss 0.14 accuracy 0.94:  47%|████▋     | 468/1000 [00:54&lt;01:02,  8.53it/s]loss 0.14 accuracy 0.94:  47%|████▋     | 469/1000 [00:54&lt;01:02,  8.56it/s]loss 0.08 accuracy 0.98:  47%|████▋     | 469/1000 [00:54&lt;01:02,  8.56it/s]loss 0.08 accuracy 0.98:  47%|████▋     | 470/1000 [00:54&lt;01:02,  8.49it/s]loss 0.13 accuracy 0.96:  47%|████▋     | 470/1000 [00:54&lt;01:02,  8.49it/s]loss 0.13 accuracy 0.96:  47%|████▋     | 471/1000 [00:54&lt;01:06,  7.99it/s]loss 0.12 accuracy 0.98:  47%|████▋     | 471/1000 [00:54&lt;01:06,  7.99it/s]loss 0.12 accuracy 0.98:  47%|████▋     | 472/1000 [00:54&lt;01:04,  8.16it/s]loss 0.14 accuracy 0.98:  47%|████▋     | 472/1000 [00:55&lt;01:04,  8.16it/s]loss 0.14 accuracy 0.98:  47%|████▋     | 473/1000 [00:55&lt;01:04,  8.17it/s]loss 0.08 accuracy 0.96:  47%|████▋     | 473/1000 [00:55&lt;01:04,  8.17it/s]loss 0.08 accuracy 0.96:  47%|████▋     | 474/1000 [00:55&lt;01:03,  8.28it/s]loss 0.13 accuracy 0.95:  47%|████▋     | 474/1000 [00:55&lt;01:03,  8.28it/s]loss 0.13 accuracy 0.95:  48%|████▊     | 475/1000 [00:55&lt;01:02,  8.43it/s]loss 0.10 accuracy 0.98:  48%|████▊     | 475/1000 [00:55&lt;01:02,  8.43it/s]loss 0.10 accuracy 0.98:  48%|████▊     | 476/1000 [00:55&lt;01:01,  8.50it/s]loss 0.09 accuracy 0.95:  48%|████▊     | 476/1000 [00:55&lt;01:01,  8.50it/s]loss 0.09 accuracy 0.95:  48%|████▊     | 477/1000 [00:55&lt;01:01,  8.57it/s]loss 0.07 accuracy 0.98:  48%|████▊     | 477/1000 [00:55&lt;01:01,  8.57it/s]loss 0.07 accuracy 0.98:  48%|████▊     | 478/1000 [00:55&lt;01:00,  8.64it/s]loss 0.03 accuracy 0.99:  48%|████▊     | 478/1000 [00:55&lt;01:00,  8.64it/s]loss 0.03 accuracy 0.99:  48%|████▊     | 479/1000 [00:55&lt;01:00,  8.57it/s]loss 0.08 accuracy 0.97:  48%|████▊     | 479/1000 [00:55&lt;01:00,  8.57it/s]loss 0.08 accuracy 0.97:  48%|████▊     | 480/1000 [00:55&lt;01:01,  8.52it/s]loss 0.10 accuracy 0.98:  48%|████▊     | 480/1000 [00:55&lt;01:01,  8.52it/s]loss 0.10 accuracy 0.98:  48%|████▊     | 481/1000 [00:55&lt;01:00,  8.54it/s]loss 0.07 accuracy 0.98:  48%|████▊     | 481/1000 [00:56&lt;01:00,  8.54it/s]loss 0.07 accuracy 0.98:  48%|████▊     | 482/1000 [00:56&lt;01:00,  8.49it/s]loss 0.20 accuracy 0.95:  48%|████▊     | 482/1000 [00:56&lt;01:00,  8.49it/s]loss 0.20 accuracy 0.95:  48%|████▊     | 483/1000 [00:56&lt;01:01,  8.45it/s]loss 0.10 accuracy 0.96:  48%|████▊     | 483/1000 [00:56&lt;01:01,  8.45it/s]loss 0.10 accuracy 0.96:  48%|████▊     | 484/1000 [00:56&lt;01:00,  8.53it/s]loss 0.11 accuracy 0.96:  48%|████▊     | 484/1000 [00:56&lt;01:00,  8.53it/s]loss 0.11 accuracy 0.96:  48%|████▊     | 485/1000 [00:56&lt;01:00,  8.53it/s]loss 0.15 accuracy 0.95:  48%|████▊     | 485/1000 [00:56&lt;01:00,  8.53it/s]loss 0.15 accuracy 0.95:  49%|████▊     | 486/1000 [00:56&lt;01:02,  8.20it/s]loss 0.12 accuracy 0.96:  49%|████▊     | 486/1000 [00:56&lt;01:02,  8.20it/s]loss 0.12 accuracy 0.96:  49%|████▊     | 487/1000 [00:56&lt;01:01,  8.31it/s]loss 0.12 accuracy 0.95:  49%|████▊     | 487/1000 [00:56&lt;01:01,  8.31it/s]loss 0.12 accuracy 0.95:  49%|████▉     | 488/1000 [00:56&lt;01:01,  8.34it/s]loss 0.08 accuracy 0.98:  49%|████▉     | 488/1000 [00:56&lt;01:01,  8.34it/s]loss 0.08 accuracy 0.98:  49%|████▉     | 489/1000 [00:56&lt;01:00,  8.38it/s]loss 0.09 accuracy 0.98:  49%|████▉     | 489/1000 [00:57&lt;01:00,  8.38it/s]loss 0.09 accuracy 0.98:  49%|████▉     | 490/1000 [00:57&lt;00:59,  8.50it/s]loss 0.03 accuracy 0.99:  49%|████▉     | 490/1000 [00:57&lt;00:59,  8.50it/s]loss 0.03 accuracy 0.99:  49%|████▉     | 491/1000 [00:57&lt;00:59,  8.49it/s]loss 0.05 accuracy 0.99:  49%|████▉     | 491/1000 [00:57&lt;00:59,  8.49it/s]loss 0.05 accuracy 0.99:  49%|████▉     | 492/1000 [00:57&lt;00:59,  8.47it/s]loss 0.10 accuracy 0.96:  49%|████▉     | 492/1000 [00:57&lt;00:59,  8.47it/s]loss 0.10 accuracy 0.96:  49%|████▉     | 493/1000 [00:57&lt;00:59,  8.55it/s]loss 0.14 accuracy 0.97:  49%|████▉     | 493/1000 [00:57&lt;00:59,  8.55it/s]loss 0.14 accuracy 0.97:  49%|████▉     | 494/1000 [00:57&lt;00:59,  8.49it/s]loss 0.09 accuracy 0.98:  49%|████▉     | 494/1000 [00:57&lt;00:59,  8.49it/s]loss 0.09 accuracy 0.98:  50%|████▉     | 495/1000 [00:57&lt;00:59,  8.48it/s]loss 0.07 accuracy 0.98:  50%|████▉     | 495/1000 [00:57&lt;00:59,  8.48it/s]loss 0.07 accuracy 0.98:  50%|████▉     | 496/1000 [00:57&lt;00:59,  8.45it/s]loss 0.06 accuracy 0.97:  50%|████▉     | 496/1000 [00:57&lt;00:59,  8.45it/s]loss 0.06 accuracy 0.97:  50%|████▉     | 497/1000 [00:57&lt;00:58,  8.57it/s]loss 0.19 accuracy 0.95:  50%|████▉     | 497/1000 [00:57&lt;00:58,  8.57it/s]loss 0.19 accuracy 0.95:  50%|████▉     | 498/1000 [00:57&lt;00:58,  8.57it/s]loss 0.10 accuracy 0.96:  50%|████▉     | 498/1000 [00:58&lt;00:58,  8.57it/s]loss 0.10 accuracy 0.96:  50%|████▉     | 499/1000 [00:58&lt;00:58,  8.50it/s]loss 0.13 accuracy 0.96:  50%|████▉     | 499/1000 [00:58&lt;00:58,  8.50it/s]loss 0.13 accuracy 0.96:  50%|█████     | 500/1000 [00:58&lt;00:59,  8.47it/s]loss 0.14 accuracy 0.96:  50%|█████     | 500/1000 [00:58&lt;00:59,  8.47it/s]loss 0.14 accuracy 0.96:  50%|█████     | 501/1000 [00:58&lt;00:58,  8.48it/s]loss 0.14 accuracy 0.95:  50%|█████     | 501/1000 [00:58&lt;00:58,  8.48it/s]loss 0.14 accuracy 0.95:  50%|█████     | 502/1000 [00:58&lt;00:58,  8.50it/s]loss 0.08 accuracy 0.98:  50%|█████     | 502/1000 [00:58&lt;00:58,  8.50it/s]loss 0.08 accuracy 0.98:  50%|█████     | 503/1000 [00:58&lt;00:57,  8.66it/s]loss 0.15 accuracy 0.95:  50%|█████     | 503/1000 [00:58&lt;00:57,  8.66it/s]loss 0.15 accuracy 0.95:  50%|█████     | 504/1000 [00:58&lt;00:57,  8.58it/s]loss 0.16 accuracy 0.95:  50%|█████     | 504/1000 [00:58&lt;00:57,  8.58it/s]loss 0.16 accuracy 0.95:  50%|█████     | 505/1000 [00:58&lt;00:57,  8.63it/s]loss 0.09 accuracy 0.98:  50%|█████     | 505/1000 [00:58&lt;00:57,  8.63it/s]loss 0.09 accuracy 0.98:  51%|█████     | 506/1000 [00:58&lt;00:57,  8.66it/s]loss 0.03 accuracy 1.00:  51%|█████     | 506/1000 [00:59&lt;00:57,  8.66it/s]loss 0.03 accuracy 1.00:  51%|█████     | 507/1000 [00:59&lt;00:57,  8.63it/s]loss 0.07 accuracy 0.98:  51%|█████     | 507/1000 [00:59&lt;00:57,  8.63it/s]loss 0.07 accuracy 0.98:  51%|█████     | 508/1000 [00:59&lt;00:57,  8.56it/s]loss 0.06 accuracy 0.96:  51%|█████     | 508/1000 [00:59&lt;00:57,  8.56it/s]loss 0.06 accuracy 0.96:  51%|█████     | 509/1000 [00:59&lt;00:57,  8.54it/s]loss 0.17 accuracy 0.96:  51%|█████     | 509/1000 [00:59&lt;00:57,  8.54it/s]loss 0.17 accuracy 0.96:  51%|█████     | 510/1000 [00:59&lt;00:56,  8.72it/s]loss 0.12 accuracy 0.97:  51%|█████     | 510/1000 [00:59&lt;00:56,  8.72it/s]loss 0.12 accuracy 0.97:  51%|█████     | 511/1000 [00:59&lt;00:56,  8.72it/s]loss 0.22 accuracy 0.94:  51%|█████     | 511/1000 [00:59&lt;00:56,  8.72it/s]loss 0.22 accuracy 0.94:  51%|█████     | 512/1000 [00:59&lt;00:56,  8.61it/s]loss 0.07 accuracy 0.98:  51%|█████     | 512/1000 [00:59&lt;00:56,  8.61it/s]loss 0.07 accuracy 0.98:  51%|█████▏    | 513/1000 [00:59&lt;00:56,  8.69it/s]loss 0.11 accuracy 0.96:  51%|█████▏    | 513/1000 [00:59&lt;00:56,  8.69it/s]loss 0.11 accuracy 0.96:  51%|█████▏    | 514/1000 [00:59&lt;00:56,  8.64it/s]loss 0.04 accuracy 0.99:  51%|█████▏    | 514/1000 [00:59&lt;00:56,  8.64it/s]loss 0.04 accuracy 0.99:  52%|█████▏    | 515/1000 [00:59&lt;00:56,  8.58it/s]loss 0.09 accuracy 0.98:  52%|█████▏    | 515/1000 [01:00&lt;00:56,  8.58it/s]loss 0.09 accuracy 0.98:  52%|█████▏    | 516/1000 [01:00&lt;00:56,  8.61it/s]loss 0.09 accuracy 0.96:  52%|█████▏    | 516/1000 [01:00&lt;00:56,  8.61it/s]loss 0.09 accuracy 0.96:  52%|█████▏    | 517/1000 [01:00&lt;00:55,  8.65it/s]loss 0.07 accuracy 0.98:  52%|█████▏    | 517/1000 [01:00&lt;00:55,  8.65it/s]loss 0.07 accuracy 0.98:  52%|█████▏    | 518/1000 [01:00&lt;00:55,  8.64it/s]loss 0.07 accuracy 0.98:  52%|█████▏    | 518/1000 [01:00&lt;00:55,  8.64it/s]loss 0.07 accuracy 0.98:  52%|█████▏    | 519/1000 [01:00&lt;00:54,  8.79it/s]loss 0.12 accuracy 0.98:  52%|█████▏    | 519/1000 [01:00&lt;00:54,  8.79it/s]loss 0.12 accuracy 0.98:  52%|█████▏    | 520/1000 [01:00&lt;00:54,  8.82it/s]loss 0.15 accuracy 0.95:  52%|█████▏    | 520/1000 [01:00&lt;00:54,  8.82it/s]loss 0.15 accuracy 0.95:  52%|█████▏    | 521/1000 [01:00&lt;00:55,  8.67it/s]loss 0.07 accuracy 0.98:  52%|█████▏    | 521/1000 [01:00&lt;00:55,  8.67it/s]loss 0.07 accuracy 0.98:  52%|█████▏    | 522/1000 [01:00&lt;00:55,  8.68it/s]loss 0.10 accuracy 0.97:  52%|█████▏    | 522/1000 [01:00&lt;00:55,  8.68it/s]loss 0.10 accuracy 0.97:  52%|█████▏    | 523/1000 [01:00&lt;00:55,  8.57it/s]loss 0.15 accuracy 0.97:  52%|█████▏    | 523/1000 [01:01&lt;00:55,  8.57it/s]loss 0.15 accuracy 0.97:  52%|█████▏    | 524/1000 [01:01&lt;00:54,  8.67it/s]loss 0.15 accuracy 0.96:  52%|█████▏    | 524/1000 [01:01&lt;00:54,  8.67it/s]loss 0.15 accuracy 0.96:  52%|█████▎    | 525/1000 [01:01&lt;00:54,  8.70it/s]loss 0.16 accuracy 0.93:  52%|█████▎    | 525/1000 [01:01&lt;00:54,  8.70it/s]loss 0.16 accuracy 0.93:  53%|█████▎    | 526/1000 [01:01&lt;00:54,  8.72it/s]loss 0.16 accuracy 0.95:  53%|█████▎    | 526/1000 [01:01&lt;00:54,  8.72it/s]loss 0.16 accuracy 0.95:  53%|█████▎    | 527/1000 [01:01&lt;00:54,  8.67it/s]loss 0.08 accuracy 0.97:  53%|█████▎    | 527/1000 [01:01&lt;00:54,  8.67it/s]loss 0.08 accuracy 0.97:  53%|█████▎    | 528/1000 [01:01&lt;00:54,  8.62it/s]loss 0.15 accuracy 0.95:  53%|█████▎    | 528/1000 [01:01&lt;00:54,  8.62it/s]loss 0.15 accuracy 0.95:  53%|█████▎    | 529/1000 [01:01&lt;00:54,  8.60it/s]loss 0.19 accuracy 0.94:  53%|█████▎    | 529/1000 [01:01&lt;00:54,  8.60it/s]loss 0.19 accuracy 0.94:  53%|█████▎    | 530/1000 [01:01&lt;00:54,  8.59it/s]loss 0.14 accuracy 0.95:  53%|█████▎    | 530/1000 [01:01&lt;00:54,  8.59it/s]loss 0.14 accuracy 0.95:  53%|█████▎    | 531/1000 [01:01&lt;00:54,  8.54it/s]loss 0.16 accuracy 0.95:  53%|█████▎    | 531/1000 [01:01&lt;00:54,  8.54it/s]loss 0.16 accuracy 0.95:  53%|█████▎    | 532/1000 [01:01&lt;00:54,  8.53it/s]loss 0.09 accuracy 0.98:  53%|█████▎    | 532/1000 [01:02&lt;00:54,  8.53it/s]loss 0.09 accuracy 0.98:  53%|█████▎    | 533/1000 [01:02&lt;00:55,  8.47it/s]loss 0.11 accuracy 0.96:  53%|█████▎    | 533/1000 [01:02&lt;00:55,  8.47it/s]loss 0.11 accuracy 0.96:  53%|█████▎    | 534/1000 [01:02&lt;00:55,  8.42it/s]loss 0.15 accuracy 0.95:  53%|█████▎    | 534/1000 [01:02&lt;00:55,  8.42it/s]loss 0.15 accuracy 0.95:  54%|█████▎    | 535/1000 [01:02&lt;01:00,  7.71it/s]loss 0.23 accuracy 0.97:  54%|█████▎    | 535/1000 [01:02&lt;01:00,  7.71it/s]loss 0.23 accuracy 0.97:  54%|█████▎    | 536/1000 [01:02&lt;00:58,  7.94it/s]loss 0.14 accuracy 0.98:  54%|█████▎    | 536/1000 [01:02&lt;00:58,  7.94it/s]loss 0.14 accuracy 0.98:  54%|█████▎    | 537/1000 [01:02&lt;00:56,  8.19it/s]loss 0.10 accuracy 0.97:  54%|█████▎    | 537/1000 [01:02&lt;00:56,  8.19it/s]loss 0.10 accuracy 0.97:  54%|█████▍    | 538/1000 [01:02&lt;00:55,  8.30it/s]loss 0.13 accuracy 0.98:  54%|█████▍    | 538/1000 [01:02&lt;00:55,  8.30it/s]loss 0.13 accuracy 0.98:  54%|█████▍    | 539/1000 [01:02&lt;00:54,  8.41it/s]loss 0.12 accuracy 0.98:  54%|█████▍    | 539/1000 [01:02&lt;00:54,  8.41it/s]loss 0.12 accuracy 0.98:  54%|█████▍    | 540/1000 [01:02&lt;00:54,  8.47it/s]loss 0.15 accuracy 0.95:  54%|█████▍    | 540/1000 [01:03&lt;00:54,  8.47it/s]loss 0.15 accuracy 0.95:  54%|█████▍    | 541/1000 [01:03&lt;00:53,  8.52it/s]loss 0.15 accuracy 0.95: 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8.59it/s]loss 0.03 accuracy 0.99:  55%|█████▍    | 548/1000 [01:03&lt;00:53,  8.50it/s]loss 0.17 accuracy 0.93:  55%|█████▍    | 548/1000 [01:03&lt;00:53,  8.50it/s]loss 0.17 accuracy 0.93:  55%|█████▍    | 549/1000 [01:03&lt;00:53,  8.48it/s]loss 0.12 accuracy 0.97:  55%|█████▍    | 549/1000 [01:04&lt;00:53,  8.48it/s]loss 0.12 accuracy 0.97:  55%|█████▌    | 550/1000 [01:04&lt;00:52,  8.57it/s]loss 0.10 accuracy 0.97:  55%|█████▌    | 550/1000 [01:04&lt;00:52,  8.57it/s]loss 0.10 accuracy 0.97:  55%|█████▌    | 551/1000 [01:04&lt;00:52,  8.50it/s]loss 0.17 accuracy 0.94:  55%|█████▌    | 551/1000 [01:04&lt;00:52,  8.50it/s]loss 0.17 accuracy 0.94:  55%|█████▌    | 552/1000 [01:04&lt;00:52,  8.55it/s]loss 0.22 accuracy 0.93:  55%|█████▌    | 552/1000 [01:04&lt;00:52,  8.55it/s]loss 0.22 accuracy 0.93:  55%|█████▌    | 553/1000 [01:04&lt;00:52,  8.58it/s]loss 0.07 accuracy 0.97:  55%|█████▌    | 553/1000 [01:04&lt;00:52,  8.58it/s]loss 0.07 accuracy 0.97:  55%|█████▌    | 554/1000 [01:04&lt;00:51,  8.59it/s]loss 0.17 accuracy 0.93:  55%|█████▌    | 554/1000 [01:04&lt;00:51,  8.59it/s]loss 0.17 accuracy 0.93:  56%|█████▌    | 555/1000 [01:04&lt;00:52,  8.54it/s]loss 0.19 accuracy 0.95:  56%|█████▌    | 555/1000 [01:04&lt;00:52,  8.54it/s]loss 0.19 accuracy 0.95:  56%|█████▌    | 556/1000 [01:04&lt;00:51,  8.56it/s]loss 0.10 accuracy 0.98:  56%|█████▌    | 556/1000 [01:04&lt;00:51,  8.56it/s]loss 0.10 accuracy 0.98:  56%|█████▌    | 557/1000 [01:04&lt;00:51,  8.63it/s]loss 0.06 accuracy 0.98:  56%|█████▌    | 557/1000 [01:05&lt;00:51,  8.63it/s]loss 0.06 accuracy 0.98:  56%|█████▌    | 558/1000 [01:05&lt;00:51,  8.59it/s]loss 0.13 accuracy 0.98:  56%|█████▌    | 558/1000 [01:05&lt;00:51,  8.59it/s]loss 0.13 accuracy 0.98:  56%|█████▌    | 559/1000 [01:05&lt;00:51,  8.56it/s]loss 0.07 accuracy 0.98:  56%|█████▌    | 559/1000 [01:05&lt;00:51,  8.56it/s]loss 0.07 accuracy 0.98:  56%|█████▌    | 560/1000 [01:05&lt;00:51,  8.52it/s]loss 0.08 accuracy 0.98:  56%|█████▌    | 560/1000 [01:05&lt;00:51,  8.52it/s]loss 0.08 accuracy 0.98:  56%|█████▌    | 561/1000 [01:05&lt;00:51,  8.47it/s]loss 0.05 accuracy 0.99:  56%|█████▌    | 561/1000 [01:05&lt;00:51,  8.47it/s]loss 0.05 accuracy 0.99:  56%|█████▌    | 562/1000 [01:05&lt;00:51,  8.57it/s]loss 0.13 accuracy 0.97:  56%|█████▌    | 562/1000 [01:05&lt;00:51,  8.57it/s]loss 0.13 accuracy 0.97:  56%|█████▋    | 563/1000 [01:05&lt;00:51,  8.55it/s]loss 0.03 accuracy 0.99:  56%|█████▋    | 563/1000 [01:05&lt;00:51,  8.55it/s]loss 0.03 accuracy 0.99:  56%|█████▋    | 564/1000 [01:05&lt;00:51,  8.50it/s]loss 0.10 accuracy 0.98:  56%|█████▋    | 564/1000 [01:05&lt;00:51,  8.50it/s]loss 0.10 accuracy 0.98:  56%|█████▋    | 565/1000 [01:05&lt;00:50,  8.55it/s]loss 0.12 accuracy 0.98:  56%|█████▋    | 565/1000 [01:05&lt;00:50,  8.55it/s]loss 0.12 accuracy 0.98:  57%|█████▋    | 566/1000 [01:05&lt;00:50,  8.62it/s]loss 0.05 accuracy 0.98:  57%|█████▋    | 566/1000 [01:06&lt;00:50,  8.62it/s]loss 0.05 accuracy 0.98:  57%|█████▋    | 567/1000 [01:06&lt;00:50,  8.59it/s]loss 0.07 accuracy 0.97:  57%|█████▋    | 567/1000 [01:06&lt;00:50,  8.59it/s]loss 0.07 accuracy 0.97:  57%|█████▋    | 568/1000 [01:06&lt;00:50,  8.56it/s]loss 0.21 accuracy 0.94:  57%|█████▋    | 568/1000 [01:06&lt;00:50,  8.56it/s]loss 0.21 accuracy 0.94:  57%|█████▋    | 569/1000 [01:06&lt;00:50,  8.46it/s]loss 0.12 accuracy 0.97:  57%|█████▋    | 569/1000 [01:06&lt;00:50,  8.46it/s]loss 0.12 accuracy 0.97:  57%|█████▋    | 570/1000 [01:06&lt;00:50,  8.51it/s]loss 0.04 accuracy 0.98:  57%|█████▋    | 570/1000 [01:06&lt;00:50,  8.51it/s]loss 0.04 accuracy 0.98:  57%|█████▋    | 571/1000 [01:06&lt;00:50,  8.58it/s]loss 0.19 accuracy 0.95:  57%|█████▋    | 571/1000 [01:06&lt;00:50,  8.58it/s]loss 0.19 accuracy 0.95:  57%|█████▋    | 572/1000 [01:06&lt;00:49,  8.65it/s]loss 0.10 accuracy 0.95:  57%|█████▋    | 572/1000 [01:06&lt;00:49,  8.65it/s]loss 0.10 accuracy 0.95: 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8.51it/s]loss 0.06 accuracy 0.98:  58%|█████▊    | 579/1000 [01:07&lt;00:49,  8.51it/s]loss 0.06 accuracy 0.98:  58%|█████▊    | 580/1000 [01:07&lt;00:48,  8.65it/s]loss 0.08 accuracy 0.98:  58%|█████▊    | 580/1000 [01:07&lt;00:48,  8.65it/s]loss 0.08 accuracy 0.98:  58%|█████▊    | 581/1000 [01:07&lt;00:47,  8.74it/s]loss 0.05 accuracy 0.98:  58%|█████▊    | 581/1000 [01:07&lt;00:47,  8.74it/s]loss 0.05 accuracy 0.98:  58%|█████▊    | 582/1000 [01:07&lt;00:47,  8.83it/s]loss 0.17 accuracy 0.95:  58%|█████▊    | 582/1000 [01:07&lt;00:47,  8.83it/s]loss 0.17 accuracy 0.95:  58%|█████▊    | 583/1000 [01:07&lt;00:47,  8.75it/s]loss 0.03 accuracy 0.99:  58%|█████▊    | 583/1000 [01:08&lt;00:47,  8.75it/s]loss 0.03 accuracy 0.99:  58%|█████▊    | 584/1000 [01:08&lt;00:48,  8.66it/s]loss 0.12 accuracy 0.95:  58%|█████▊    | 584/1000 [01:08&lt;00:48,  8.66it/s]loss 0.12 accuracy 0.95:  58%|█████▊    | 585/1000 [01:08&lt;00:48,  8.56it/s]loss 0.15 accuracy 0.94:  58%|█████▊    | 585/1000 [01:08&lt;00:48,  8.56it/s]loss 0.15 accuracy 0.94:  59%|█████▊    | 586/1000 [01:08&lt;00:48,  8.55it/s]loss 0.04 accuracy 0.99:  59%|█████▊    | 586/1000 [01:08&lt;00:48,  8.55it/s]loss 0.04 accuracy 0.99:  59%|█████▊    | 587/1000 [01:08&lt;00:48,  8.54it/s]loss 0.12 accuracy 0.95:  59%|█████▊    | 587/1000 [01:08&lt;00:48,  8.54it/s]loss 0.12 accuracy 0.95:  59%|█████▉    | 588/1000 [01:08&lt;00:48,  8.56it/s]loss 0.22 accuracy 0.95:  59%|█████▉    | 588/1000 [01:08&lt;00:48,  8.56it/s]loss 0.22 accuracy 0.95:  59%|█████▉    | 589/1000 [01:08&lt;00:47,  8.59it/s]loss 0.07 accuracy 0.98:  59%|█████▉    | 589/1000 [01:08&lt;00:47,  8.59it/s]loss 0.07 accuracy 0.98:  59%|█████▉    | 590/1000 [01:08&lt;00:46,  8.73it/s]loss 0.07 accuracy 0.98:  59%|█████▉    | 590/1000 [01:08&lt;00:46,  8.73it/s]loss 0.07 accuracy 0.98:  59%|█████▉    | 591/1000 [01:08&lt;00:47,  8.67it/s]loss 0.05 accuracy 0.98:  59%|█████▉    | 591/1000 [01:08&lt;00:47,  8.67it/s]loss 0.05 accuracy 0.98:  59%|█████▉    | 592/1000 [01:08&lt;00:49,  8.23it/s]loss 0.07 accuracy 0.99:  59%|█████▉    | 592/1000 [01:09&lt;00:49,  8.23it/s]loss 0.07 accuracy 0.99:  59%|█████▉    | 593/1000 [01:09&lt;00:48,  8.38it/s]loss 0.14 accuracy 0.96:  59%|█████▉    | 593/1000 [01:09&lt;00:48,  8.38it/s]loss 0.14 accuracy 0.96:  59%|█████▉    | 594/1000 [01:09&lt;00:47,  8.47it/s]loss 0.14 accuracy 0.96:  59%|█████▉    | 594/1000 [01:09&lt;00:47,  8.47it/s]loss 0.14 accuracy 0.96:  60%|█████▉    | 595/1000 [01:09&lt;00:47,  8.49it/s]loss 0.14 accuracy 0.98:  60%|█████▉    | 595/1000 [01:09&lt;00:47,  8.49it/s]loss 0.14 accuracy 0.98:  60%|█████▉    | 596/1000 [01:09&lt;00:47,  8.56it/s]loss 0.14 accuracy 0.96:  60%|█████▉    | 596/1000 [01:09&lt;00:47,  8.56it/s]loss 0.14 accuracy 0.96:  60%|█████▉    | 597/1000 [01:09&lt;00:47,  8.55it/s]loss 0.05 accuracy 0.98:  60%|█████▉    | 597/1000 [01:09&lt;00:47,  8.55it/s]loss 0.05 accuracy 0.98:  60%|█████▉    | 598/1000 [01:09&lt;00:46,  8.63it/s]loss 0.14 accuracy 0.98:  60%|█████▉    | 598/1000 [01:09&lt;00:46,  8.63it/s]loss 0.14 accuracy 0.98:  60%|█████▉    | 599/1000 [01:09&lt;00:46,  8.70it/s]loss 0.14 accuracy 0.95:  60%|█████▉    | 599/1000 [01:09&lt;00:46,  8.70it/s]loss 0.14 accuracy 0.95:  60%|██████    | 600/1000 [01:09&lt;00:46,  8.63it/s]loss 0.08 accuracy 0.98:  60%|██████    | 600/1000 [01:10&lt;00:46,  8.63it/s]loss 0.08 accuracy 0.98:  60%|██████    | 601/1000 [01:10&lt;00:46,  8.64it/s]loss 0.10 accuracy 0.99:  60%|██████    | 601/1000 [01:10&lt;00:46,  8.64it/s]loss 0.10 accuracy 0.99:  60%|██████    | 602/1000 [01:10&lt;00:45,  8.68it/s]loss 0.13 accuracy 0.95:  60%|██████    | 602/1000 [01:10&lt;00:45,  8.68it/s]loss 0.13 accuracy 0.95:  60%|██████    | 603/1000 [01:10&lt;00:45,  8.66it/s]loss 0.14 accuracy 0.96:  60%|██████    | 603/1000 [01:10&lt;00:45,  8.66it/s]loss 0.14 accuracy 0.96:  60%|██████    | 604/1000 [01:10&lt;00:46,  8.57it/s]loss 0.09 accuracy 0.97: 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8.70it/s]loss 0.07 accuracy 0.98:  61%|██████    | 611/1000 [01:11&lt;00:44,  8.68it/s]loss 0.06 accuracy 0.98:  61%|██████    | 611/1000 [01:11&lt;00:44,  8.68it/s]loss 0.06 accuracy 0.98:  61%|██████    | 612/1000 [01:11&lt;00:44,  8.68it/s]loss 0.07 accuracy 0.97:  61%|██████    | 612/1000 [01:11&lt;00:44,  8.68it/s]loss 0.07 accuracy 0.97:  61%|██████▏   | 613/1000 [01:11&lt;00:44,  8.66it/s]loss 0.10 accuracy 0.97:  61%|██████▏   | 613/1000 [01:11&lt;00:44,  8.66it/s]loss 0.10 accuracy 0.97:  61%|██████▏   | 614/1000 [01:11&lt;00:43,  8.86it/s]loss 0.09 accuracy 0.98:  61%|██████▏   | 614/1000 [01:11&lt;00:43,  8.86it/s]loss 0.09 accuracy 0.98:  62%|██████▏   | 615/1000 [01:11&lt;00:44,  8.69it/s]loss 0.05 accuracy 0.99:  62%|██████▏   | 615/1000 [01:11&lt;00:44,  8.69it/s]loss 0.05 accuracy 0.99:  62%|██████▏   | 616/1000 [01:11&lt;00:43,  8.77it/s]loss 0.09 accuracy 0.98:  62%|██████▏   | 616/1000 [01:11&lt;00:43,  8.77it/s]loss 0.09 accuracy 0.98:  62%|██████▏   | 617/1000 [01:11&lt;00:44,  8.63it/s]loss 0.21 accuracy 0.95:  62%|██████▏   | 617/1000 [01:11&lt;00:44,  8.63it/s]loss 0.21 accuracy 0.95:  62%|██████▏   | 618/1000 [01:11&lt;00:44,  8.66it/s]loss 0.22 accuracy 0.92:  62%|██████▏   | 618/1000 [01:12&lt;00:44,  8.66it/s]loss 0.22 accuracy 0.92:  62%|██████▏   | 619/1000 [01:12&lt;00:43,  8.67it/s]loss 0.12 accuracy 0.97:  62%|██████▏   | 619/1000 [01:12&lt;00:43,  8.67it/s]loss 0.12 accuracy 0.97:  62%|██████▏   | 620/1000 [01:12&lt;00:43,  8.67it/s]loss 0.10 accuracy 0.97:  62%|██████▏   | 620/1000 [01:12&lt;00:43,  8.67it/s]loss 0.10 accuracy 0.97:  62%|██████▏   | 621/1000 [01:12&lt;00:43,  8.74it/s]loss 0.10 accuracy 0.98:  62%|██████▏   | 621/1000 [01:12&lt;00:43,  8.74it/s]loss 0.10 accuracy 0.98:  62%|██████▏   | 622/1000 [01:12&lt;00:43,  8.72it/s]loss 0.08 accuracy 0.98:  62%|██████▏   | 622/1000 [01:12&lt;00:43,  8.72it/s]loss 0.08 accuracy 0.98:  62%|██████▏   | 623/1000 [01:12&lt;00:43,  8.70it/s]loss 0.15 accuracy 0.95:  62%|██████▏   | 623/1000 [01:12&lt;00:43,  8.70it/s]loss 0.15 accuracy 0.95:  62%|██████▏   | 624/1000 [01:12&lt;00:43,  8.59it/s]loss 0.04 accuracy 0.98:  62%|██████▏   | 624/1000 [01:12&lt;00:43,  8.59it/s]loss 0.04 accuracy 0.98:  62%|██████▎   | 625/1000 [01:12&lt;00:43,  8.56it/s]loss 0.03 accuracy 0.98:  62%|██████▎   | 625/1000 [01:12&lt;00:43,  8.56it/s]loss 0.03 accuracy 0.98:  63%|██████▎   | 626/1000 [01:12&lt;00:43,  8.59it/s]loss 0.11 accuracy 0.96:  63%|██████▎   | 626/1000 [01:13&lt;00:43,  8.59it/s]loss 0.11 accuracy 0.96:  63%|██████▎   | 627/1000 [01:13&lt;00:42,  8.69it/s]loss 0.12 accuracy 0.96:  63%|██████▎   | 627/1000 [01:13&lt;00:42,  8.69it/s]loss 0.12 accuracy 0.96:  63%|██████▎   | 628/1000 [01:13&lt;00:43,  8.55it/s]loss 0.14 accuracy 0.97:  63%|██████▎   | 628/1000 [01:13&lt;00:43,  8.55it/s]loss 0.14 accuracy 0.97:  63%|██████▎   | 629/1000 [01:13&lt;00:43,  8.57it/s]loss 0.04 accuracy 0.98:  63%|██████▎   | 629/1000 [01:13&lt;00:43,  8.57it/s]loss 0.04 accuracy 0.98:  63%|██████▎   | 630/1000 [01:13&lt;00:42,  8.73it/s]loss 0.03 accuracy 1.00:  63%|██████▎   | 630/1000 [01:13&lt;00:42,  8.73it/s]loss 0.03 accuracy 1.00:  63%|██████▎   | 631/1000 [01:13&lt;00:42,  8.68it/s]loss 0.07 accuracy 0.97:  63%|██████▎   | 631/1000 [01:13&lt;00:42,  8.68it/s]loss 0.07 accuracy 0.97:  63%|██████▎   | 632/1000 [01:13&lt;00:42,  8.72it/s]loss 0.11 accuracy 0.97:  63%|██████▎   | 632/1000 [01:13&lt;00:42,  8.72it/s]loss 0.11 accuracy 0.97:  63%|██████▎   | 633/1000 [01:13&lt;00:42,  8.66it/s]loss 0.13 accuracy 0.93:  63%|██████▎   | 633/1000 [01:13&lt;00:42,  8.66it/s]loss 0.13 accuracy 0.93:  63%|██████▎   | 634/1000 [01:13&lt;00:42,  8.56it/s]loss 0.09 accuracy 0.96:  63%|██████▎   | 634/1000 [01:13&lt;00:42,  8.56it/s]loss 0.09 accuracy 0.96:  64%|██████▎   | 635/1000 [01:13&lt;00:42,  8.61it/s]loss 0.12 accuracy 0.97:  64%|██████▎   | 635/1000 [01:14&lt;00:42,  8.61it/s]loss 0.12 accuracy 0.97:  64%|██████▎   | 636/1000 [01:14&lt;00:42,  8.58it/s]loss 0.16 accuracy 0.98:  64%|██████▎   | 636/1000 [01:14&lt;00:42,  8.58it/s]loss 0.16 accuracy 0.98:  64%|██████▎   | 637/1000 [01:14&lt;00:41,  8.65it/s]loss 0.08 accuracy 0.98:  64%|██████▎   | 637/1000 [01:14&lt;00:41,  8.65it/s]loss 0.08 accuracy 0.98:  64%|██████▍   | 638/1000 [01:14&lt;00:41,  8.64it/s]loss 0.12 accuracy 0.95:  64%|██████▍   | 638/1000 [01:14&lt;00:41,  8.64it/s]loss 0.12 accuracy 0.95:  64%|██████▍   | 639/1000 [01:14&lt;00:42,  8.59it/s]loss 0.07 accuracy 0.98:  64%|██████▍   | 639/1000 [01:14&lt;00:42,  8.59it/s]loss 0.07 accuracy 0.98:  64%|██████▍   | 640/1000 [01:14&lt;00:41,  8.58it/s]loss 0.02 accuracy 1.00:  64%|██████▍   | 640/1000 [01:14&lt;00:41,  8.58it/s]loss 0.02 accuracy 1.00:  64%|██████▍   | 641/1000 [01:14&lt;00:41,  8.59it/s]loss 0.04 accuracy 0.98:  64%|██████▍   | 641/1000 [01:14&lt;00:41,  8.59it/s]loss 0.04 accuracy 0.98:  64%|██████▍   | 642/1000 [01:14&lt;00:41,  8.63it/s]loss 0.06 accuracy 0.98:  64%|██████▍   | 642/1000 [01:14&lt;00:41,  8.63it/s]loss 0.06 accuracy 0.98:  64%|██████▍   | 643/1000 [01:14&lt;00:40,  8.77it/s]loss 0.06 accuracy 0.98:  64%|██████▍   | 643/1000 [01:14&lt;00:40,  8.77it/s]loss 0.06 accuracy 0.98:  64%|██████▍   | 644/1000 [01:14&lt;00:41,  8.64it/s]loss 0.13 accuracy 0.95:  64%|██████▍   | 644/1000 [01:15&lt;00:41,  8.64it/s]loss 0.13 accuracy 0.95:  64%|██████▍   | 645/1000 [01:15&lt;00:41,  8.65it/s]loss 0.08 accuracy 0.98:  64%|██████▍   | 645/1000 [01:15&lt;00:41,  8.65it/s]loss 0.08 accuracy 0.98:  65%|██████▍   | 646/1000 [01:15&lt;00:41,  8.48it/s]loss 0.04 accuracy 1.00:  65%|██████▍   | 646/1000 [01:15&lt;00:41,  8.48it/s]loss 0.04 accuracy 1.00:  65%|██████▍   | 647/1000 [01:15&lt;00:40,  8.66it/s]loss 0.20 accuracy 0.93:  65%|██████▍   | 647/1000 [01:15&lt;00:40,  8.66it/s]loss 0.20 accuracy 0.93:  65%|██████▍   | 648/1000 [01:15&lt;00:40,  8.67it/s]loss 0.06 accuracy 0.98:  65%|██████▍   | 648/1000 [01:15&lt;00:40,  8.67it/s]loss 0.06 accuracy 0.98:  65%|██████▍   | 649/1000 [01:15&lt;00:40,  8.74it/s]loss 0.11 accuracy 0.96:  65%|██████▍   | 649/1000 [01:15&lt;00:40,  8.74it/s]loss 0.11 accuracy 0.96:  65%|██████▌   | 650/1000 [01:15&lt;00:40,  8.71it/s]loss 0.08 accuracy 0.97:  65%|██████▌   | 650/1000 [01:15&lt;00:40,  8.71it/s]loss 0.08 accuracy 0.97:  65%|██████▌   | 651/1000 [01:15&lt;00:39,  8.74it/s]loss 0.05 accuracy 0.99:  65%|██████▌   | 651/1000 [01:15&lt;00:39,  8.74it/s]loss 0.05 accuracy 0.99:  65%|██████▌   | 652/1000 [01:15&lt;00:39,  8.74it/s]loss 0.14 accuracy 0.95:  65%|██████▌   | 652/1000 [01:16&lt;00:39,  8.74it/s]loss 0.14 accuracy 0.95:  65%|██████▌   | 653/1000 [01:16&lt;00:39,  8.69it/s]loss 0.14 accuracy 0.94:  65%|██████▌   | 653/1000 [01:16&lt;00:39,  8.69it/s]loss 0.14 accuracy 0.94:  65%|██████▌   | 654/1000 [01:16&lt;00:39,  8.76it/s]loss 0.17 accuracy 0.95:  65%|██████▌   | 654/1000 [01:16&lt;00:39,  8.76it/s]loss 0.17 accuracy 0.95:  66%|██████▌   | 655/1000 [01:16&lt;00:40,  8.59it/s]loss 0.12 accuracy 0.96:  66%|██████▌   | 655/1000 [01:16&lt;00:40,  8.59it/s]loss 0.12 accuracy 0.96:  66%|██████▌   | 656/1000 [01:16&lt;00:40,  8.58it/s]loss 0.04 accuracy 0.98:  66%|██████▌   | 656/1000 [01:16&lt;00:40,  8.58it/s]loss 0.04 accuracy 0.98:  66%|██████▌   | 657/1000 [01:16&lt;00:39,  8.64it/s]loss 0.13 accuracy 0.97:  66%|██████▌   | 657/1000 [01:16&lt;00:39,  8.64it/s]loss 0.13 accuracy 0.97:  66%|██████▌   | 658/1000 [01:16&lt;00:39,  8.77it/s]loss 0.19 accuracy 0.96:  66%|██████▌   | 658/1000 [01:16&lt;00:39,  8.77it/s]loss 0.19 accuracy 0.96:  66%|██████▌   | 659/1000 [01:16&lt;00:38,  8.85it/s]loss 0.11 accuracy 0.98:  66%|██████▌   | 659/1000 [01:16&lt;00:38,  8.85it/s]loss 0.11 accuracy 0.98:  66%|██████▌   | 660/1000 [01:16&lt;00:38,  8.77it/s]loss 0.17 accuracy 0.96:  66%|██████▌   | 660/1000 [01:16&lt;00:38,  8.77it/s]loss 0.17 accuracy 0.96:  66%|██████▌   | 661/1000 [01:16&lt;00:38,  8.74it/s]loss 0.19 accuracy 0.97:  66%|██████▌   | 661/1000 [01:17&lt;00:38,  8.74it/s]loss 0.19 accuracy 0.97:  66%|██████▌   | 662/1000 [01:17&lt;00:38,  8.88it/s]loss 0.06 accuracy 0.98:  66%|██████▌   | 662/1000 [01:17&lt;00:38,  8.88it/s]loss 0.06 accuracy 0.98:  66%|██████▋   | 663/1000 [01:17&lt;00:38,  8.65it/s]loss 0.11 accuracy 0.97:  66%|██████▋   | 663/1000 [01:17&lt;00:38,  8.65it/s]loss 0.11 accuracy 0.97:  66%|██████▋   | 664/1000 [01:17&lt;00:38,  8.74it/s]loss 0.07 accuracy 0.98:  66%|██████▋   | 664/1000 [01:17&lt;00:38,  8.74it/s]loss 0.07 accuracy 0.98:  66%|██████▋   | 665/1000 [01:17&lt;00:38,  8.74it/s]loss 0.05 accuracy 0.99:  66%|██████▋   | 665/1000 [01:17&lt;00:38,  8.74it/s]loss 0.05 accuracy 0.99:  67%|██████▋   | 666/1000 [01:17&lt;00:37,  8.82it/s]loss 0.07 accuracy 0.99:  67%|██████▋   | 666/1000 [01:17&lt;00:37,  8.82it/s]loss 0.07 accuracy 0.99:  67%|██████▋   | 667/1000 [01:17&lt;00:38,  8.73it/s]loss 0.11 accuracy 0.95:  67%|██████▋   | 667/1000 [01:17&lt;00:38,  8.73it/s]loss 0.11 accuracy 0.95:  67%|██████▋   | 668/1000 [01:17&lt;00:38,  8.69it/s]loss 0.05 accuracy 0.98:  67%|██████▋   | 668/1000 [01:17&lt;00:38,  8.69it/s]loss 0.05 accuracy 0.98:  67%|██████▋   | 669/1000 [01:17&lt;00:38,  8.71it/s]loss 0.03 accuracy 1.00:  67%|██████▋   | 669/1000 [01:17&lt;00:38,  8.71it/s]loss 0.03 accuracy 1.00:  67%|██████▋   | 670/1000 [01:17&lt;00:37,  8.76it/s]loss 0.07 accuracy 0.97:  67%|██████▋   | 670/1000 [01:18&lt;00:37,  8.76it/s]loss 0.07 accuracy 0.97:  67%|██████▋   | 671/1000 [01:18&lt;00:37,  8.80it/s]loss 0.10 accuracy 0.96:  67%|██████▋   | 671/1000 [01:18&lt;00:37,  8.80it/s]loss 0.10 accuracy 0.96:  67%|██████▋   | 672/1000 [01:18&lt;00:37,  8.75it/s]loss 0.07 accuracy 0.97:  67%|██████▋   | 672/1000 [01:18&lt;00:37,  8.75it/s]loss 0.07 accuracy 0.97:  67%|██████▋   | 673/1000 [01:18&lt;00:37,  8.81it/s]loss 0.06 accuracy 0.98:  67%|██████▋   | 673/1000 [01:18&lt;00:37,  8.81it/s]loss 0.06 accuracy 0.98:  67%|██████▋   | 674/1000 [01:18&lt;00:36,  8.88it/s]loss 0.14 accuracy 0.95:  67%|██████▋   | 674/1000 [01:18&lt;00:36,  8.88it/s]loss 0.14 accuracy 0.95:  68%|██████▊   | 675/1000 [01:18&lt;00:36,  8.83it/s]loss 0.09 accuracy 0.97:  68%|██████▊   | 675/1000 [01:18&lt;00:36,  8.83it/s]loss 0.09 accuracy 0.97:  68%|██████▊   | 676/1000 [01:18&lt;00:36,  8.91it/s]loss 0.07 accuracy 0.98:  68%|██████▊   | 676/1000 [01:18&lt;00:36,  8.91it/s]loss 0.07 accuracy 0.98:  68%|██████▊   | 677/1000 [01:18&lt;00:36,  8.75it/s]loss 0.11 accuracy 0.97:  68%|██████▊   | 677/1000 [01:18&lt;00:36,  8.75it/s]loss 0.11 accuracy 0.97:  68%|██████▊   | 678/1000 [01:18&lt;00:38,  8.33it/s]loss 0.04 accuracy 0.98:  68%|██████▊   | 678/1000 [01:19&lt;00:38,  8.33it/s]loss 0.04 accuracy 0.98:  68%|██████▊   | 679/1000 [01:19&lt;00:38,  8.40it/s]loss 0.11 accuracy 0.98:  68%|██████▊   | 679/1000 [01:19&lt;00:38,  8.40it/s]loss 0.11 accuracy 0.98:  68%|██████▊   | 680/1000 [01:19&lt;00:37,  8.44it/s]loss 0.03 accuracy 1.00:  68%|██████▊   | 680/1000 [01:19&lt;00:37,  8.44it/s]loss 0.03 accuracy 1.00:  68%|██████▊   | 681/1000 [01:19&lt;00:38,  8.39it/s]loss 0.07 accuracy 0.98:  68%|██████▊   | 681/1000 [01:19&lt;00:38,  8.39it/s]loss 0.07 accuracy 0.98:  68%|██████▊   | 682/1000 [01:19&lt;00:37,  8.52it/s]loss 0.08 accuracy 0.98:  68%|██████▊   | 682/1000 [01:19&lt;00:37,  8.52it/s]loss 0.08 accuracy 0.98:  68%|██████▊   | 683/1000 [01:19&lt;00:37,  8.50it/s]loss 0.09 accuracy 0.98:  68%|██████▊   | 683/1000 [01:19&lt;00:37,  8.50it/s]loss 0.09 accuracy 0.98:  68%|██████▊   | 684/1000 [01:19&lt;00:36,  8.57it/s]loss 0.05 accuracy 0.98:  68%|██████▊   | 684/1000 [01:19&lt;00:36,  8.57it/s]loss 0.05 accuracy 0.98:  68%|██████▊   | 685/1000 [01:19&lt;00:36,  8.55it/s]loss 0.17 accuracy 0.96:  68%|██████▊   | 685/1000 [01:19&lt;00:36,  8.55it/s]loss 0.17 accuracy 0.96:  69%|██████▊   | 686/1000 [01:19&lt;00:37,  8.46it/s]loss 0.04 accuracy 0.99:  69%|██████▊   | 686/1000 [01:19&lt;00:37,  8.46it/s]loss 0.04 accuracy 0.99:  69%|██████▊   | 687/1000 [01:19&lt;00:36,  8.51it/s]loss 0.10 accuracy 0.98:  69%|██████▊   | 687/1000 [01:20&lt;00:36,  8.51it/s]loss 0.10 accuracy 0.98:  69%|██████▉   | 688/1000 [01:20&lt;00:36,  8.53it/s]loss 0.11 accuracy 0.96:  69%|██████▉   | 688/1000 [01:20&lt;00:36,  8.53it/s]loss 0.11 accuracy 0.96:  69%|██████▉   | 689/1000 [01:20&lt;00:36,  8.56it/s]loss 0.07 accuracy 0.98:  69%|██████▉   | 689/1000 [01:20&lt;00:36,  8.56it/s]loss 0.07 accuracy 0.98:  69%|██████▉   | 690/1000 [01:20&lt;00:36,  8.59it/s]loss 0.05 accuracy 0.99:  69%|██████▉   | 690/1000 [01:20&lt;00:36,  8.59it/s]loss 0.05 accuracy 0.99:  69%|██████▉   | 691/1000 [01:20&lt;00:35,  8.66it/s]loss 0.06 accuracy 0.98:  69%|██████▉   | 691/1000 [01:20&lt;00:35,  8.66it/s]loss 0.06 accuracy 0.98:  69%|██████▉   | 692/1000 [01:20&lt;00:35,  8.65it/s]loss 0.18 accuracy 0.95:  69%|██████▉   | 692/1000 [01:20&lt;00:35,  8.65it/s]loss 0.18 accuracy 0.95:  69%|██████▉   | 693/1000 [01:20&lt;00:35,  8.66it/s]loss 0.12 accuracy 0.96:  69%|██████▉   | 693/1000 [01:20&lt;00:35,  8.66it/s]loss 0.12 accuracy 0.96:  69%|██████▉   | 694/1000 [01:20&lt;00:34,  8.81it/s]loss 0.05 accuracy 0.98:  69%|██████▉   | 694/1000 [01:20&lt;00:34,  8.81it/s]loss 0.05 accuracy 0.98:  70%|██████▉   | 695/1000 [01:20&lt;00:34,  8.85it/s]loss 0.19 accuracy 0.96:  70%|██████▉   | 695/1000 [01:20&lt;00:34,  8.85it/s]loss 0.19 accuracy 0.96:  70%|██████▉   | 696/1000 [01:20&lt;00:34,  8.74it/s]loss 0.12 accuracy 0.98:  70%|██████▉   | 696/1000 [01:21&lt;00:34,  8.74it/s]loss 0.12 accuracy 0.98:  70%|██████▉   | 697/1000 [01:21&lt;00:34,  8.76it/s]loss 0.08 accuracy 0.98:  70%|██████▉   | 697/1000 [01:21&lt;00:34,  8.76it/s]loss 0.08 accuracy 0.98:  70%|██████▉   | 698/1000 [01:21&lt;00:34,  8.70it/s]loss 0.07 accuracy 0.97:  70%|██████▉   | 698/1000 [01:21&lt;00:34,  8.70it/s]loss 0.07 accuracy 0.97: 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8.67it/s]loss 0.01 accuracy 1.00:  70%|███████   | 705/1000 [01:22&lt;00:34,  8.67it/s]loss 0.01 accuracy 1.00:  71%|███████   | 706/1000 [01:22&lt;00:33,  8.75it/s]loss 0.06 accuracy 0.98:  71%|███████   | 706/1000 [01:22&lt;00:33,  8.75it/s]loss 0.06 accuracy 0.98:  71%|███████   | 707/1000 [01:22&lt;00:34,  8.51it/s]loss 0.18 accuracy 0.98:  71%|███████   | 707/1000 [01:22&lt;00:34,  8.51it/s]loss 0.18 accuracy 0.98:  71%|███████   | 708/1000 [01:22&lt;00:34,  8.53it/s]loss 0.14 accuracy 0.97:  71%|███████   | 708/1000 [01:22&lt;00:34,  8.53it/s]loss 0.14 accuracy 0.97:  71%|███████   | 709/1000 [01:22&lt;00:33,  8.58it/s]loss 0.08 accuracy 0.98:  71%|███████   | 709/1000 [01:22&lt;00:33,  8.58it/s]loss 0.08 accuracy 0.98:  71%|███████   | 710/1000 [01:22&lt;00:34,  8.51it/s]loss 0.11 accuracy 0.98:  71%|███████   | 710/1000 [01:22&lt;00:34,  8.51it/s]loss 0.11 accuracy 0.98:  71%|███████   | 711/1000 [01:22&lt;00:33,  8.61it/s]loss 0.11 accuracy 0.95:  71%|███████   | 711/1000 [01:22&lt;00:33,  8.61it/s]loss 0.11 accuracy 0.95:  71%|███████   | 712/1000 [01:22&lt;00:33,  8.58it/s]loss 0.08 accuracy 0.96:  71%|███████   | 712/1000 [01:22&lt;00:33,  8.58it/s]loss 0.08 accuracy 0.96:  71%|███████▏  | 713/1000 [01:22&lt;00:33,  8.61it/s]loss 0.10 accuracy 0.98:  71%|███████▏  | 713/1000 [01:23&lt;00:33,  8.61it/s]loss 0.10 accuracy 0.98:  71%|███████▏  | 714/1000 [01:23&lt;00:33,  8.64it/s]loss 0.05 accuracy 0.98:  71%|███████▏  | 714/1000 [01:23&lt;00:33,  8.64it/s]loss 0.05 accuracy 0.98:  72%|███████▏  | 715/1000 [01:23&lt;00:33,  8.53it/s]loss 0.02 accuracy 1.00:  72%|███████▏  | 715/1000 [01:23&lt;00:33,  8.53it/s]loss 0.02 accuracy 1.00:  72%|███████▏  | 716/1000 [01:23&lt;00:33,  8.54it/s]loss 0.12 accuracy 0.98:  72%|███████▏  | 716/1000 [01:23&lt;00:33,  8.54it/s]loss 0.12 accuracy 0.98:  72%|███████▏  | 717/1000 [01:23&lt;00:33,  8.55it/s]loss 0.15 accuracy 0.94:  72%|███████▏  | 717/1000 [01:23&lt;00:33,  8.55it/s]loss 0.15 accuracy 0.94:  72%|███████▏  | 718/1000 [01:23&lt;00:33,  8.52it/s]loss 0.04 accuracy 0.98:  72%|███████▏  | 718/1000 [01:23&lt;00:33,  8.52it/s]loss 0.04 accuracy 0.98:  72%|███████▏  | 719/1000 [01:23&lt;00:32,  8.59it/s]loss 0.08 accuracy 0.98:  72%|███████▏  | 719/1000 [01:23&lt;00:32,  8.59it/s]loss 0.08 accuracy 0.98:  72%|███████▏  | 720/1000 [01:23&lt;00:32,  8.70it/s]loss 0.04 accuracy 0.99:  72%|███████▏  | 720/1000 [01:23&lt;00:32,  8.70it/s]loss 0.04 accuracy 0.99:  72%|███████▏  | 721/1000 [01:23&lt;00:32,  8.67it/s]loss 0.04 accuracy 0.98:  72%|███████▏  | 721/1000 [01:24&lt;00:32,  8.67it/s]loss 0.04 accuracy 0.98:  72%|███████▏  | 722/1000 [01:24&lt;00:32,  8.64it/s]loss 0.10 accuracy 0.98:  72%|███████▏  | 722/1000 [01:24&lt;00:32,  8.64it/s]loss 0.10 accuracy 0.98:  72%|███████▏  | 723/1000 [01:24&lt;00:32,  8.60it/s]loss 0.11 accuracy 0.95:  72%|███████▏  | 723/1000 [01:24&lt;00:32,  8.60it/s]loss 0.11 accuracy 0.95:  72%|███████▏  | 724/1000 [01:24&lt;00:32,  8.55it/s]loss 0.12 accuracy 0.97:  72%|███████▏  | 724/1000 [01:24&lt;00:32,  8.55it/s]loss 0.12 accuracy 0.97:  72%|███████▎  | 725/1000 [01:24&lt;00:32,  8.57it/s]loss 0.07 accuracy 0.98:  72%|███████▎  | 725/1000 [01:24&lt;00:32,  8.57it/s]loss 0.07 accuracy 0.98:  73%|███████▎  | 726/1000 [01:24&lt;00:32,  8.46it/s]loss 0.09 accuracy 0.96:  73%|███████▎  | 726/1000 [01:24&lt;00:32,  8.46it/s]loss 0.09 accuracy 0.96:  73%|███████▎  | 727/1000 [01:24&lt;00:32,  8.40it/s]loss 0.07 accuracy 0.97:  73%|███████▎  | 727/1000 [01:24&lt;00:32,  8.40it/s]loss 0.07 accuracy 0.97:  73%|███████▎  | 728/1000 [01:24&lt;00:32,  8.41it/s]loss 0.04 accuracy 0.98:  73%|███████▎  | 728/1000 [01:24&lt;00:32,  8.41it/s]loss 0.04 accuracy 0.98:  73%|███████▎  | 729/1000 [01:24&lt;00:31,  8.53it/s]loss 0.09 accuracy 0.97:  73%|███████▎  | 729/1000 [01:24&lt;00:31,  8.53it/s]loss 0.09 accuracy 0.97:  73%|███████▎  | 730/1000 [01:24&lt;00:31,  8.48it/s]loss 0.10 accuracy 0.96: 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8.47it/s]loss 0.03 accuracy 0.98:  74%|███████▎  | 737/1000 [01:25&lt;00:31,  8.44it/s]loss 0.07 accuracy 0.98:  74%|███████▎  | 737/1000 [01:25&lt;00:31,  8.44it/s]loss 0.07 accuracy 0.98:  74%|███████▍  | 738/1000 [01:25&lt;00:31,  8.40it/s]loss 0.15 accuracy 0.96:  74%|███████▍  | 738/1000 [01:26&lt;00:31,  8.40it/s]loss 0.15 accuracy 0.96:  74%|███████▍  | 739/1000 [01:26&lt;00:30,  8.47it/s]loss 0.12 accuracy 0.94:  74%|███████▍  | 739/1000 [01:26&lt;00:30,  8.47it/s]loss 0.12 accuracy 0.94:  74%|███████▍  | 740/1000 [01:26&lt;00:30,  8.41it/s]loss 0.07 accuracy 0.98:  74%|███████▍  | 740/1000 [01:26&lt;00:30,  8.41it/s]loss 0.07 accuracy 0.98:  74%|███████▍  | 741/1000 [01:26&lt;00:30,  8.43it/s]loss 0.06 accuracy 0.98:  74%|███████▍  | 741/1000 [01:26&lt;00:30,  8.43it/s]loss 0.06 accuracy 0.98:  74%|███████▍  | 742/1000 [01:26&lt;00:29,  8.63it/s]loss 0.12 accuracy 0.96:  74%|███████▍  | 742/1000 [01:26&lt;00:29,  8.63it/s]loss 0.12 accuracy 0.96:  74%|███████▍  | 743/1000 [01:26&lt;00:29,  8.60it/s]loss 0.08 accuracy 0.98:  74%|███████▍  | 743/1000 [01:26&lt;00:29,  8.60it/s]loss 0.08 accuracy 0.98:  74%|███████▍  | 744/1000 [01:26&lt;00:29,  8.60it/s]loss 0.06 accuracy 0.98:  74%|███████▍  | 744/1000 [01:26&lt;00:29,  8.60it/s]loss 0.06 accuracy 0.98:  74%|███████▍  | 745/1000 [01:26&lt;00:29,  8.53it/s]loss 0.13 accuracy 0.97:  74%|███████▍  | 745/1000 [01:26&lt;00:29,  8.53it/s]loss 0.13 accuracy 0.97:  75%|███████▍  | 746/1000 [01:26&lt;00:29,  8.64it/s]loss 0.06 accuracy 0.98:  75%|███████▍  | 746/1000 [01:26&lt;00:29,  8.64it/s]loss 0.06 accuracy 0.98:  75%|███████▍  | 747/1000 [01:26&lt;00:29,  8.60it/s]loss 0.10 accuracy 0.98:  75%|███████▍  | 747/1000 [01:27&lt;00:29,  8.60it/s]loss 0.10 accuracy 0.98:  75%|███████▍  | 748/1000 [01:27&lt;00:29,  8.51it/s]loss 0.05 accuracy 0.99:  75%|███████▍  | 748/1000 [01:27&lt;00:29,  8.51it/s]loss 0.05 accuracy 0.99:  75%|███████▍  | 749/1000 [01:27&lt;00:29,  8.52it/s]loss 0.06 accuracy 0.98:  75%|███████▍  | 749/1000 [01:27&lt;00:29,  8.52it/s]loss 0.06 accuracy 0.98:  75%|███████▌  | 750/1000 [01:27&lt;00:29,  8.50it/s]loss 0.06 accuracy 0.98:  75%|███████▌  | 750/1000 [01:27&lt;00:29,  8.50it/s]loss 0.06 accuracy 0.98:  75%|███████▌  | 751/1000 [01:27&lt;00:29,  8.52it/s]loss 0.04 accuracy 0.98:  75%|███████▌  | 751/1000 [01:27&lt;00:29,  8.52it/s]loss 0.04 accuracy 0.98:  75%|███████▌  | 752/1000 [01:27&lt;00:29,  8.47it/s]loss 0.16 accuracy 0.95:  75%|███████▌  | 752/1000 [01:27&lt;00:29,  8.47it/s]loss 0.16 accuracy 0.95:  75%|███████▌  | 753/1000 [01:27&lt;00:29,  8.44it/s]loss 0.13 accuracy 0.98:  75%|███████▌  | 753/1000 [01:27&lt;00:29,  8.44it/s]loss 0.13 accuracy 0.98:  75%|███████▌  | 754/1000 [01:27&lt;00:29,  8.43it/s]loss 0.05 accuracy 0.99:  75%|███████▌  | 754/1000 [01:27&lt;00:29,  8.43it/s]loss 0.05 accuracy 0.99:  76%|███████▌  | 755/1000 [01:27&lt;00:28,  8.52it/s]loss 0.04 accuracy 0.99:  76%|███████▌  | 755/1000 [01:28&lt;00:28,  8.52it/s]loss 0.04 accuracy 0.99:  76%|███████▌  | 756/1000 [01:28&lt;00:28,  8.51it/s]loss 0.03 accuracy 0.99:  76%|███████▌  | 756/1000 [01:28&lt;00:28,  8.51it/s]loss 0.03 accuracy 0.99:  76%|███████▌  | 757/1000 [01:28&lt;00:28,  8.53it/s]loss 0.05 accuracy 0.98:  76%|███████▌  | 757/1000 [01:28&lt;00:28,  8.53it/s]loss 0.05 accuracy 0.98:  76%|███████▌  | 758/1000 [01:28&lt;00:28,  8.46it/s]loss 0.03 accuracy 1.00:  76%|███████▌  | 758/1000 [01:28&lt;00:28,  8.46it/s]loss 0.03 accuracy 1.00:  76%|███████▌  | 759/1000 [01:28&lt;00:28,  8.50it/s]loss 0.07 accuracy 0.98:  76%|███████▌  | 759/1000 [01:28&lt;00:28,  8.50it/s]loss 0.07 accuracy 0.98:  76%|███████▌  | 760/1000 [01:28&lt;00:28,  8.48it/s]loss 0.06 accuracy 0.98:  76%|███████▌  | 760/1000 [01:28&lt;00:28,  8.48it/s]loss 0.06 accuracy 0.98:  76%|███████▌  | 761/1000 [01:28&lt;00:28,  8.49it/s]loss 0.02 accuracy 1.00:  76%|███████▌  | 761/1000 [01:28&lt;00:28,  8.49it/s]loss 0.02 accuracy 1.00: 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8.58it/s]loss 0.03 accuracy 0.99:  77%|███████▋  | 768/1000 [01:29&lt;00:27,  8.58it/s]loss 0.03 accuracy 0.99:  77%|███████▋  | 769/1000 [01:29&lt;00:26,  8.59it/s]loss 0.12 accuracy 0.97:  77%|███████▋  | 769/1000 [01:29&lt;00:26,  8.59it/s]loss 0.12 accuracy 0.97:  77%|███████▋  | 770/1000 [01:29&lt;00:26,  8.64it/s]loss 0.05 accuracy 0.99:  77%|███████▋  | 770/1000 [01:29&lt;00:26,  8.64it/s]loss 0.05 accuracy 0.99:  77%|███████▋  | 771/1000 [01:29&lt;00:26,  8.68it/s]loss 0.06 accuracy 0.98:  77%|███████▋  | 771/1000 [01:29&lt;00:26,  8.68it/s]loss 0.06 accuracy 0.98:  77%|███████▋  | 772/1000 [01:29&lt;00:27,  8.42it/s]loss 0.04 accuracy 0.98:  77%|███████▋  | 772/1000 [01:30&lt;00:27,  8.42it/s]loss 0.04 accuracy 0.98:  77%|███████▋  | 773/1000 [01:30&lt;00:27,  8.38it/s]loss 0.09 accuracy 0.98:  77%|███████▋  | 773/1000 [01:30&lt;00:27,  8.38it/s]loss 0.09 accuracy 0.98:  77%|███████▋  | 774/1000 [01:30&lt;00:27,  8.33it/s]loss 0.03 accuracy 1.00:  77%|███████▋  | 774/1000 [01:30&lt;00:27,  8.33it/s]loss 0.03 accuracy 1.00:  78%|███████▊  | 775/1000 [01:30&lt;00:27,  8.22it/s]loss 0.19 accuracy 0.93:  78%|███████▊  | 775/1000 [01:30&lt;00:27,  8.22it/s]loss 0.19 accuracy 0.93:  78%|███████▊  | 776/1000 [01:30&lt;00:26,  8.30it/s]loss 0.04 accuracy 0.98:  78%|███████▊  | 776/1000 [01:30&lt;00:26,  8.30it/s]loss 0.04 accuracy 0.98:  78%|███████▊  | 777/1000 [01:30&lt;00:26,  8.45it/s]loss 0.08 accuracy 0.99:  78%|███████▊  | 777/1000 [01:30&lt;00:26,  8.45it/s]loss 0.08 accuracy 0.99:  78%|███████▊  | 778/1000 [01:30&lt;00:26,  8.50it/s]loss 0.03 accuracy 1.00:  78%|███████▊  | 778/1000 [01:30&lt;00:26,  8.50it/s]loss 0.03 accuracy 1.00:  78%|███████▊  | 779/1000 [01:30&lt;00:25,  8.59it/s]loss 0.14 accuracy 0.97:  78%|███████▊  | 779/1000 [01:30&lt;00:25,  8.59it/s]loss 0.14 accuracy 0.97:  78%|███████▊  | 780/1000 [01:30&lt;00:25,  8.54it/s]loss 0.17 accuracy 0.98:  78%|███████▊  | 780/1000 [01:30&lt;00:25,  8.54it/s]loss 0.17 accuracy 0.98:  78%|███████▊  | 781/1000 [01:30&lt;00:25,  8.51it/s]loss 0.15 accuracy 0.95:  78%|███████▊  | 781/1000 [01:31&lt;00:25,  8.51it/s]loss 0.15 accuracy 0.95:  78%|███████▊  | 782/1000 [01:31&lt;00:25,  8.46it/s]loss 0.03 accuracy 0.99:  78%|███████▊  | 782/1000 [01:31&lt;00:25,  8.46it/s]loss 0.03 accuracy 0.99:  78%|███████▊  | 783/1000 [01:31&lt;00:25,  8.57it/s]loss 0.16 accuracy 0.95:  78%|███████▊  | 783/1000 [01:31&lt;00:25,  8.57it/s]loss 0.16 accuracy 0.95:  78%|███████▊  | 784/1000 [01:31&lt;00:25,  8.53it/s]loss 0.08 accuracy 0.96:  78%|███████▊  | 784/1000 [01:31&lt;00:25,  8.53it/s]loss 0.08 accuracy 0.96:  78%|███████▊  | 785/1000 [01:31&lt;00:24,  8.64it/s]loss 0.05 accuracy 0.99:  78%|███████▊  | 785/1000 [01:31&lt;00:24,  8.64it/s]loss 0.05 accuracy 0.99:  79%|███████▊  | 786/1000 [01:31&lt;00:24,  8.57it/s]loss 0.07 accuracy 0.97:  79%|███████▊  | 786/1000 [01:31&lt;00:24,  8.57it/s]loss 0.07 accuracy 0.97:  79%|███████▊  | 787/1000 [01:31&lt;00:24,  8.59it/s]loss 0.08 accuracy 0.98:  79%|███████▊  | 787/1000 [01:31&lt;00:24,  8.59it/s]loss 0.08 accuracy 0.98:  79%|███████▉  | 788/1000 [01:31&lt;00:24,  8.52it/s]loss 0.04 accuracy 0.98:  79%|███████▉  | 788/1000 [01:31&lt;00:24,  8.52it/s]loss 0.04 accuracy 0.98:  79%|███████▉  | 789/1000 [01:31&lt;00:24,  8.55it/s]loss 0.09 accuracy 0.98:  79%|███████▉  | 789/1000 [01:32&lt;00:24,  8.55it/s]loss 0.09 accuracy 0.98:  79%|███████▉  | 790/1000 [01:32&lt;00:24,  8.47it/s]loss 0.11 accuracy 0.98:  79%|███████▉  | 790/1000 [01:32&lt;00:24,  8.47it/s]loss 0.11 accuracy 0.98:  79%|███████▉  | 791/1000 [01:32&lt;00:24,  8.41it/s]loss 0.07 accuracy 0.98:  79%|███████▉  | 791/1000 [01:32&lt;00:24,  8.41it/s]loss 0.07 accuracy 0.98:  79%|███████▉  | 792/1000 [01:32&lt;00:25,  8.19it/s]loss 0.13 accuracy 0.95:  79%|███████▉  | 792/1000 [01:32&lt;00:25,  8.19it/s]loss 0.13 accuracy 0.95:  79%|███████▉  | 793/1000 [01:32&lt;00:25,  8.26it/s]loss 0.17 accuracy 0.95: 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8.18it/s]loss 0.06 accuracy 0.98:  80%|████████  | 800/1000 [01:33&lt;00:24,  8.16it/s]loss 0.06 accuracy 0.98:  80%|████████  | 800/1000 [01:33&lt;00:24,  8.16it/s]loss 0.06 accuracy 0.98:  80%|████████  | 801/1000 [01:33&lt;00:23,  8.32it/s]loss 0.12 accuracy 0.95:  80%|████████  | 801/1000 [01:33&lt;00:23,  8.32it/s]loss 0.12 accuracy 0.95:  80%|████████  | 802/1000 [01:33&lt;00:23,  8.34it/s]loss 0.06 accuracy 0.98:  80%|████████  | 802/1000 [01:33&lt;00:23,  8.34it/s]loss 0.06 accuracy 0.98:  80%|████████  | 803/1000 [01:33&lt;00:23,  8.39it/s]loss 0.14 accuracy 0.97:  80%|████████  | 803/1000 [01:33&lt;00:23,  8.39it/s]loss 0.14 accuracy 0.97:  80%|████████  | 804/1000 [01:33&lt;00:23,  8.38it/s]loss 0.05 accuracy 0.99:  80%|████████  | 804/1000 [01:33&lt;00:23,  8.38it/s]loss 0.05 accuracy 0.99:  80%|████████  | 805/1000 [01:33&lt;00:23,  8.39it/s]loss 0.08 accuracy 0.98:  80%|████████  | 805/1000 [01:33&lt;00:23,  8.39it/s]loss 0.08 accuracy 0.98:  81%|████████  | 806/1000 [01:33&lt;00:23,  8.40it/s]loss 0.11 accuracy 0.97:  81%|████████  | 806/1000 [01:34&lt;00:23,  8.40it/s]loss 0.11 accuracy 0.97:  81%|████████  | 807/1000 [01:34&lt;00:22,  8.46it/s]loss 0.04 accuracy 0.99:  81%|████████  | 807/1000 [01:34&lt;00:22,  8.46it/s]loss 0.04 accuracy 0.99:  81%|████████  | 808/1000 [01:34&lt;00:22,  8.47it/s]loss 0.04 accuracy 0.99:  81%|████████  | 808/1000 [01:34&lt;00:22,  8.47it/s]loss 0.04 accuracy 0.99:  81%|████████  | 809/1000 [01:34&lt;00:22,  8.46it/s]loss 0.08 accuracy 0.96:  81%|████████  | 809/1000 [01:34&lt;00:22,  8.46it/s]loss 0.08 accuracy 0.96:  81%|████████  | 810/1000 [01:34&lt;00:22,  8.44it/s]loss 0.11 accuracy 0.99:  81%|████████  | 810/1000 [01:34&lt;00:22,  8.44it/s]loss 0.11 accuracy 0.99:  81%|████████  | 811/1000 [01:34&lt;00:22,  8.47it/s]loss 0.05 accuracy 0.98:  81%|████████  | 811/1000 [01:34&lt;00:22,  8.47it/s]loss 0.05 accuracy 0.98:  81%|████████  | 812/1000 [01:34&lt;00:22,  8.46it/s]loss 0.04 accuracy 0.98:  81%|████████  | 812/1000 [01:34&lt;00:22,  8.46it/s]loss 0.04 accuracy 0.98:  81%|████████▏ | 813/1000 [01:34&lt;00:22,  8.44it/s]loss 0.06 accuracy 0.98:  81%|████████▏ | 813/1000 [01:34&lt;00:22,  8.44it/s]loss 0.06 accuracy 0.98:  81%|████████▏ | 814/1000 [01:34&lt;00:22,  8.39it/s]loss 0.04 accuracy 0.98:  81%|████████▏ | 814/1000 [01:35&lt;00:22,  8.39it/s]loss 0.04 accuracy 0.98:  82%|████████▏ | 815/1000 [01:35&lt;00:22,  8.39it/s]loss 0.08 accuracy 0.98:  82%|████████▏ | 815/1000 [01:35&lt;00:22,  8.39it/s]loss 0.08 accuracy 0.98:  82%|████████▏ | 816/1000 [01:35&lt;00:21,  8.43it/s]loss 0.14 accuracy 0.97:  82%|████████▏ | 816/1000 [01:35&lt;00:21,  8.43it/s]loss 0.14 accuracy 0.97:  82%|████████▏ | 817/1000 [01:35&lt;00:21,  8.60it/s]loss 0.09 accuracy 0.97:  82%|████████▏ | 817/1000 [01:35&lt;00:21,  8.60it/s]loss 0.09 accuracy 0.97:  82%|████████▏ | 818/1000 [01:35&lt;00:20,  8.67it/s]loss 0.03 accuracy 0.99:  82%|████████▏ | 818/1000 [01:35&lt;00:20,  8.67it/s]loss 0.03 accuracy 0.99:  82%|████████▏ | 819/1000 [01:35&lt;00:20,  8.70it/s]loss 0.07 accuracy 0.98:  82%|████████▏ | 819/1000 [01:35&lt;00:20,  8.70it/s]loss 0.07 accuracy 0.98:  82%|████████▏ | 820/1000 [01:35&lt;00:20,  8.77it/s]loss 0.04 accuracy 0.99:  82%|████████▏ | 820/1000 [01:35&lt;00:20,  8.77it/s]loss 0.04 accuracy 0.99:  82%|████████▏ | 821/1000 [01:35&lt;00:20,  8.66it/s]loss 0.06 accuracy 0.98:  82%|████████▏ | 821/1000 [01:35&lt;00:20,  8.66it/s]loss 0.06 accuracy 0.98:  82%|████████▏ | 822/1000 [01:35&lt;00:20,  8.51it/s]loss 0.24 accuracy 0.97:  82%|████████▏ | 822/1000 [01:35&lt;00:20,  8.51it/s]loss 0.24 accuracy 0.97:  82%|████████▏ | 823/1000 [01:35&lt;00:20,  8.48it/s]loss 0.04 accuracy 1.00:  82%|████████▏ | 823/1000 [01:36&lt;00:20,  8.48it/s]loss 0.04 accuracy 1.00:  82%|████████▏ | 824/1000 [01:36&lt;00:20,  8.43it/s]loss 0.13 accuracy 0.97:  82%|████████▏ | 824/1000 [01:36&lt;00:20,  8.43it/s]loss 0.13 accuracy 0.97:  82%|████████▎ | 825/1000 [01:36&lt;00:20,  8.47it/s]loss 0.09 accuracy 0.98:  82%|████████▎ | 825/1000 [01:36&lt;00:20,  8.47it/s]loss 0.09 accuracy 0.98:  83%|████████▎ | 826/1000 [01:36&lt;00:20,  8.39it/s]loss 0.21 accuracy 0.96:  83%|████████▎ | 826/1000 [01:36&lt;00:20,  8.39it/s]loss 0.21 accuracy 0.96:  83%|████████▎ | 827/1000 [01:36&lt;00:20,  8.45it/s]loss 0.04 accuracy 0.99:  83%|████████▎ | 827/1000 [01:36&lt;00:20,  8.45it/s]loss 0.04 accuracy 0.99:  83%|████████▎ | 828/1000 [01:36&lt;00:20,  8.47it/s]loss 0.11 accuracy 0.96:  83%|████████▎ | 828/1000 [01:36&lt;00:20,  8.47it/s]loss 0.11 accuracy 0.96:  83%|████████▎ | 829/1000 [01:36&lt;00:20,  8.40it/s]loss 0.06 accuracy 0.98:  83%|████████▎ | 829/1000 [01:36&lt;00:20,  8.40it/s]loss 0.06 accuracy 0.98:  83%|████████▎ | 830/1000 [01:36&lt;00:20,  8.41it/s]loss 0.12 accuracy 0.96:  83%|████████▎ | 830/1000 [01:36&lt;00:20,  8.41it/s]loss 0.12 accuracy 0.96:  83%|████████▎ | 831/1000 [01:36&lt;00:19,  8.59it/s]loss 0.08 accuracy 0.96:  83%|████████▎ | 831/1000 [01:36&lt;00:19,  8.59it/s]loss 0.08 accuracy 0.96:  83%|████████▎ | 832/1000 [01:36&lt;00:19,  8.50it/s]loss 0.07 accuracy 0.99:  83%|████████▎ | 832/1000 [01:37&lt;00:19,  8.50it/s]loss 0.07 accuracy 0.99:  83%|████████▎ | 833/1000 [01:37&lt;00:19,  8.43it/s]loss 0.10 accuracy 0.98:  83%|████████▎ | 833/1000 [01:37&lt;00:19,  8.43it/s]loss 0.10 accuracy 0.98:  83%|████████▎ | 834/1000 [01:37&lt;00:19,  8.42it/s]loss 0.07 accuracy 0.99:  83%|████████▎ | 834/1000 [01:37&lt;00:19,  8.42it/s]loss 0.07 accuracy 0.99:  84%|████████▎ | 835/1000 [01:37&lt;00:19,  8.51it/s]loss 0.05 accuracy 0.98:  84%|████████▎ | 835/1000 [01:37&lt;00:19,  8.51it/s]loss 0.05 accuracy 0.98:  84%|████████▎ | 836/1000 [01:37&lt;00:19,  8.57it/s]loss 0.06 accuracy 0.98:  84%|████████▎ | 836/1000 [01:37&lt;00:19,  8.57it/s]loss 0.06 accuracy 0.98:  84%|████████▎ | 837/1000 [01:37&lt;00:18,  8.68it/s]loss 0.04 accuracy 0.98:  84%|████████▎ | 837/1000 [01:37&lt;00:18,  8.68it/s]loss 0.04 accuracy 0.98:  84%|████████▍ | 838/1000 [01:37&lt;00:18,  8.64it/s]loss 0.06 accuracy 0.98:  84%|████████▍ | 838/1000 [01:37&lt;00:18,  8.64it/s]loss 0.06 accuracy 0.98:  84%|████████▍ | 839/1000 [01:37&lt;00:18,  8.65it/s]loss 0.05 accuracy 0.98:  84%|████████▍ | 839/1000 [01:37&lt;00:18,  8.65it/s]loss 0.05 accuracy 0.98:  84%|████████▍ | 840/1000 [01:37&lt;00:18,  8.55it/s]loss 0.09 accuracy 0.97:  84%|████████▍ | 840/1000 [01:38&lt;00:18,  8.55it/s]loss 0.09 accuracy 0.97:  84%|████████▍ | 841/1000 [01:38&lt;00:18,  8.56it/s]loss 0.03 accuracy 0.99:  84%|████████▍ | 841/1000 [01:38&lt;00:18,  8.56it/s]loss 0.03 accuracy 0.99:  84%|████████▍ | 842/1000 [01:38&lt;00:18,  8.53it/s]loss 0.01 accuracy 1.00:  84%|████████▍ | 842/1000 [01:38&lt;00:18,  8.53it/s]loss 0.01 accuracy 1.00:  84%|████████▍ | 843/1000 [01:38&lt;00:18,  8.62it/s]loss 0.10 accuracy 0.98:  84%|████████▍ | 843/1000 [01:38&lt;00:18,  8.62it/s]loss 0.10 accuracy 0.98:  84%|████████▍ | 844/1000 [01:38&lt;00:18,  8.59it/s]loss 0.02 accuracy 0.99:  84%|████████▍ | 844/1000 [01:38&lt;00:18,  8.59it/s]loss 0.02 accuracy 0.99:  84%|████████▍ | 845/1000 [01:38&lt;00:18,  8.58it/s]loss 0.05 accuracy 0.98:  84%|████████▍ | 845/1000 [01:38&lt;00:18,  8.58it/s]loss 0.05 accuracy 0.98:  85%|████████▍ | 846/1000 [01:38&lt;00:18,  8.49it/s]loss 0.11 accuracy 0.97:  85%|████████▍ | 846/1000 [01:38&lt;00:18,  8.49it/s]loss 0.11 accuracy 0.97:  85%|████████▍ | 847/1000 [01:38&lt;00:18,  8.39it/s]loss 0.08 accuracy 0.98:  85%|████████▍ | 847/1000 [01:38&lt;00:18,  8.39it/s]loss 0.08 accuracy 0.98:  85%|████████▍ | 848/1000 [01:38&lt;00:18,  8.43it/s]loss 0.08 accuracy 0.98:  85%|████████▍ | 848/1000 [01:38&lt;00:18,  8.43it/s]loss 0.08 accuracy 0.98:  85%|████████▍ | 849/1000 [01:38&lt;00:17,  8.50it/s]loss 0.05 accuracy 0.98:  85%|████████▍ | 849/1000 [01:39&lt;00:17,  8.50it/s]loss 0.05 accuracy 0.98:  85%|████████▌ | 850/1000 [01:39&lt;00:17,  8.42it/s]loss 0.08 accuracy 0.98:  85%|████████▌ | 850/1000 [01:39&lt;00:17,  8.42it/s]loss 0.08 accuracy 0.98:  85%|████████▌ | 851/1000 [01:39&lt;00:17,  8.46it/s]loss 0.08 accuracy 0.96:  85%|████████▌ | 851/1000 [01:39&lt;00:17,  8.46it/s]loss 0.08 accuracy 0.96:  85%|████████▌ | 852/1000 [01:39&lt;00:17,  8.49it/s]loss 0.05 accuracy 0.98:  85%|████████▌ | 852/1000 [01:39&lt;00:17,  8.49it/s]loss 0.05 accuracy 0.98:  85%|████████▌ | 853/1000 [01:39&lt;00:17,  8.49it/s]loss 0.07 accuracy 0.99:  85%|████████▌ | 853/1000 [01:39&lt;00:17,  8.49it/s]loss 0.07 accuracy 0.99:  85%|████████▌ | 854/1000 [01:39&lt;00:17,  8.46it/s]loss 0.04 accuracy 0.98:  85%|████████▌ | 854/1000 [01:39&lt;00:17,  8.46it/s]loss 0.04 accuracy 0.98:  86%|████████▌ | 855/1000 [01:39&lt;00:17,  8.43it/s]loss 0.12 accuracy 0.97:  86%|████████▌ | 855/1000 [01:39&lt;00:17,  8.43it/s]loss 0.12 accuracy 0.97:  86%|████████▌ | 856/1000 [01:39&lt;00:17,  8.35it/s]loss 0.07 accuracy 0.98:  86%|████████▌ | 856/1000 [01:39&lt;00:17,  8.35it/s]loss 0.07 accuracy 0.98:  86%|████████▌ | 857/1000 [01:39&lt;00:17,  8.41it/s]loss 0.17 accuracy 0.95:  86%|████████▌ | 857/1000 [01:40&lt;00:17,  8.41it/s]loss 0.17 accuracy 0.95:  86%|████████▌ | 858/1000 [01:40&lt;00:17,  8.33it/s]loss 0.06 accuracy 0.98:  86%|████████▌ | 858/1000 [01:40&lt;00:17,  8.33it/s]loss 0.06 accuracy 0.98:  86%|████████▌ | 859/1000 [01:40&lt;00:16,  8.37it/s]loss 0.13 accuracy 0.96:  86%|████████▌ | 859/1000 [01:40&lt;00:16,  8.37it/s]loss 0.13 accuracy 0.96:  86%|████████▌ | 860/1000 [01:40&lt;00:16,  8.51it/s]loss 0.04 accuracy 0.99:  86%|████████▌ | 860/1000 [01:40&lt;00:16,  8.51it/s]loss 0.04 accuracy 0.99:  86%|████████▌ | 861/1000 [01:40&lt;00:16,  8.63it/s]loss 0.02 accuracy 1.00:  86%|████████▌ | 861/1000 [01:40&lt;00:16,  8.63it/s]loss 0.02 accuracy 1.00:  86%|████████▌ | 862/1000 [01:40&lt;00:15,  8.74it/s]loss 0.08 accuracy 0.98:  86%|████████▌ | 862/1000 [01:40&lt;00:15,  8.74it/s]loss 0.08 accuracy 0.98:  86%|████████▋ | 863/1000 [01:40&lt;00:15,  8.73it/s]loss 0.06 accuracy 0.97:  86%|████████▋ | 863/1000 [01:40&lt;00:15,  8.73it/s]loss 0.06 accuracy 0.97:  86%|████████▋ | 864/1000 [01:40&lt;00:15,  8.67it/s]loss 0.07 accuracy 0.97:  86%|████████▋ | 864/1000 [01:40&lt;00:15,  8.67it/s]loss 0.07 accuracy 0.97:  86%|████████▋ | 865/1000 [01:40&lt;00:15,  8.61it/s]loss 0.05 accuracy 0.98:  86%|████████▋ | 865/1000 [01:40&lt;00:15,  8.61it/s]loss 0.05 accuracy 0.98:  87%|████████▋ | 866/1000 [01:40&lt;00:15,  8.57it/s]loss 0.12 accuracy 0.98:  87%|████████▋ | 866/1000 [01:41&lt;00:15,  8.57it/s]loss 0.12 accuracy 0.98:  87%|████████▋ | 867/1000 [01:41&lt;00:15,  8.52it/s]loss 0.08 accuracy 0.97:  87%|████████▋ | 867/1000 [01:41&lt;00:15,  8.52it/s]loss 0.08 accuracy 0.97:  87%|████████▋ | 868/1000 [01:41&lt;00:15,  8.42it/s]loss 0.04 accuracy 0.98:  87%|████████▋ | 868/1000 [01:41&lt;00:15,  8.42it/s]loss 0.04 accuracy 0.98:  87%|████████▋ | 869/1000 [01:41&lt;00:15,  8.51it/s]loss 0.13 accuracy 0.96:  87%|████████▋ | 869/1000 [01:41&lt;00:15,  8.51it/s]loss 0.13 accuracy 0.96:  87%|████████▋ | 870/1000 [01:41&lt;00:15,  8.45it/s]loss 0.08 accuracy 0.96:  87%|████████▋ | 870/1000 [01:41&lt;00:15,  8.45it/s]loss 0.08 accuracy 0.96:  87%|████████▋ | 871/1000 [01:41&lt;00:15,  8.54it/s]loss 0.03 accuracy 0.98:  87%|████████▋ | 871/1000 [01:41&lt;00:15,  8.54it/s]loss 0.03 accuracy 0.98:  87%|████████▋ | 872/1000 [01:41&lt;00:14,  8.54it/s]loss 0.11 accuracy 0.97:  87%|████████▋ | 872/1000 [01:41&lt;00:14,  8.54it/s]loss 0.11 accuracy 0.97:  87%|████████▋ | 873/1000 [01:41&lt;00:14,  8.58it/s]loss 0.06 accuracy 0.98:  87%|████████▋ | 873/1000 [01:41&lt;00:14,  8.58it/s]loss 0.06 accuracy 0.98:  87%|████████▋ | 874/1000 [01:41&lt;00:14,  8.58it/s]loss 0.06 accuracy 0.98:  87%|████████▋ | 874/1000 [01:42&lt;00:14,  8.58it/s]loss 0.06 accuracy 0.98:  88%|████████▊ | 875/1000 [01:42&lt;00:14,  8.52it/s]loss 0.08 accuracy 0.98:  88%|████████▊ | 875/1000 [01:42&lt;00:14,  8.52it/s]loss 0.08 accuracy 0.98:  88%|████████▊ | 876/1000 [01:42&lt;00:14,  8.45it/s]loss 0.08 accuracy 0.98:  88%|████████▊ | 876/1000 [01:42&lt;00:14,  8.45it/s]loss 0.08 accuracy 0.98:  88%|████████▊ | 877/1000 [01:42&lt;00:14,  8.55it/s]loss 0.07 accuracy 0.97:  88%|████████▊ | 877/1000 [01:42&lt;00:14,  8.55it/s]loss 0.07 accuracy 0.97:  88%|████████▊ | 878/1000 [01:42&lt;00:14,  8.64it/s]loss 0.10 accuracy 0.97:  88%|████████▊ | 878/1000 [01:42&lt;00:14,  8.64it/s]loss 0.10 accuracy 0.97:  88%|████████▊ | 879/1000 [01:42&lt;00:14,  8.61it/s]loss 0.14 accuracy 0.97:  88%|████████▊ | 879/1000 [01:42&lt;00:14,  8.61it/s]loss 0.14 accuracy 0.97:  88%|████████▊ | 880/1000 [01:42&lt;00:14,  8.51it/s]loss 0.02 accuracy 1.00:  88%|████████▊ | 880/1000 [01:42&lt;00:14,  8.51it/s]loss 0.02 accuracy 1.00:  88%|████████▊ | 881/1000 [01:42&lt;00:13,  8.67it/s]loss 0.04 accuracy 0.98:  88%|████████▊ | 881/1000 [01:42&lt;00:13,  8.67it/s]loss 0.04 accuracy 0.98:  88%|████████▊ | 882/1000 [01:42&lt;00:13,  8.63it/s]loss 0.07 accuracy 0.98:  88%|████████▊ | 882/1000 [01:42&lt;00:13,  8.63it/s]loss 0.07 accuracy 0.98:  88%|████████▊ | 883/1000 [01:42&lt;00:13,  8.67it/s]loss 0.07 accuracy 0.98:  88%|████████▊ | 883/1000 [01:43&lt;00:13,  8.67it/s]loss 0.07 accuracy 0.98:  88%|████████▊ | 884/1000 [01:43&lt;00:13,  8.64it/s]loss 0.08 accuracy 0.98:  88%|████████▊ | 884/1000 [01:43&lt;00:13,  8.64it/s]loss 0.08 accuracy 0.98:  88%|████████▊ | 885/1000 [01:43&lt;00:13,  8.54it/s]loss 0.06 accuracy 0.97:  88%|████████▊ | 885/1000 [01:43&lt;00:13,  8.54it/s]loss 0.06 accuracy 0.97:  89%|████████▊ | 886/1000 [01:43&lt;00:13,  8.55it/s]loss 0.15 accuracy 0.98:  89%|████████▊ | 886/1000 [01:43&lt;00:13,  8.55it/s]loss 0.15 accuracy 0.98:  89%|████████▊ | 887/1000 [01:43&lt;00:13,  8.63it/s]loss 0.23 accuracy 0.97:  89%|████████▊ | 887/1000 [01:43&lt;00:13,  8.63it/s]loss 0.23 accuracy 0.97:  89%|████████▉ | 888/1000 [01:43&lt;00:13,  8.53it/s]loss 0.06 accuracy 0.98:  89%|████████▉ | 888/1000 [01:43&lt;00:13,  8.53it/s]loss 0.06 accuracy 0.98:  89%|████████▉ | 889/1000 [01:43&lt;00:13,  8.50it/s]loss 0.09 accuracy 0.98:  89%|████████▉ | 889/1000 [01:43&lt;00:13,  8.50it/s]loss 0.09 accuracy 0.98:  89%|████████▉ | 890/1000 [01:43&lt;00:13,  8.43it/s]loss 0.02 accuracy 0.99:  89%|████████▉ | 890/1000 [01:43&lt;00:13,  8.43it/s]loss 0.02 accuracy 0.99:  89%|████████▉ | 891/1000 [01:43&lt;00:13,  8.37it/s]loss 0.04 accuracy 0.99:  89%|████████▉ | 891/1000 [01:44&lt;00:13,  8.37it/s]loss 0.04 accuracy 0.99:  89%|████████▉ | 892/1000 [01:44&lt;00:12,  8.37it/s]loss 0.09 accuracy 0.98:  89%|████████▉ | 892/1000 [01:44&lt;00:12,  8.37it/s]loss 0.09 accuracy 0.98:  89%|████████▉ | 893/1000 [01:44&lt;00:12,  8.30it/s]loss 0.04 accuracy 0.99:  89%|████████▉ | 893/1000 [01:44&lt;00:12,  8.30it/s]loss 0.04 accuracy 0.99:  89%|████████▉ | 894/1000 [01:44&lt;00:12,  8.35it/s]loss 0.02 accuracy 0.99:  89%|████████▉ | 894/1000 [01:44&lt;00:12,  8.35it/s]loss 0.02 accuracy 0.99:  90%|████████▉ | 895/1000 [01:44&lt;00:12,  8.50it/s]loss 0.08 accuracy 0.98:  90%|████████▉ | 895/1000 [01:44&lt;00:12,  8.50it/s]loss 0.08 accuracy 0.98:  90%|████████▉ | 896/1000 [01:44&lt;00:12,  8.48it/s]loss 0.07 accuracy 0.98:  90%|████████▉ | 896/1000 [01:44&lt;00:12,  8.48it/s]loss 0.07 accuracy 0.98:  90%|████████▉ | 897/1000 [01:44&lt;00:12,  8.51it/s]loss 0.13 accuracy 0.98:  90%|████████▉ | 897/1000 [01:44&lt;00:12,  8.51it/s]loss 0.13 accuracy 0.98:  90%|████████▉ | 898/1000 [01:44&lt;00:12,  8.50it/s]loss 0.07 accuracy 0.97:  90%|████████▉ | 898/1000 [01:44&lt;00:12,  8.50it/s]loss 0.07 accuracy 0.97:  90%|████████▉ | 899/1000 [01:44&lt;00:11,  8.57it/s]loss 0.03 accuracy 1.00:  90%|████████▉ | 899/1000 [01:44&lt;00:11,  8.57it/s]loss 0.03 accuracy 1.00:  90%|█████████ | 900/1000 [01:44&lt;00:11,  8.48it/s]loss 0.02 accuracy 0.99:  90%|█████████ | 900/1000 [01:45&lt;00:11,  8.48it/s]loss 0.02 accuracy 0.99:  90%|█████████ | 901/1000 [01:45&lt;00:11,  8.60it/s]loss 0.06 accuracy 0.97:  90%|█████████ | 901/1000 [01:45&lt;00:11,  8.60it/s]loss 0.06 accuracy 0.97:  90%|█████████ | 902/1000 [01:45&lt;00:11,  8.58it/s]loss 0.03 accuracy 1.00:  90%|█████████ | 902/1000 [01:45&lt;00:11,  8.58it/s]loss 0.03 accuracy 1.00:  90%|█████████ | 903/1000 [01:45&lt;00:11,  8.58it/s]loss 0.06 accuracy 0.98:  90%|█████████ | 903/1000 [01:45&lt;00:11,  8.58it/s]loss 0.06 accuracy 0.98:  90%|█████████ | 904/1000 [01:45&lt;00:11,  8.60it/s]loss 0.06 accuracy 0.98:  90%|█████████ | 904/1000 [01:45&lt;00:11,  8.60it/s]loss 0.06 accuracy 0.98:  90%|█████████ | 905/1000 [01:45&lt;00:11,  8.58it/s]loss 0.12 accuracy 0.95:  90%|█████████ | 905/1000 [01:45&lt;00:11,  8.58it/s]loss 0.12 accuracy 0.95:  91%|█████████ | 906/1000 [01:45&lt;00:11,  8.48it/s]loss 0.07 accuracy 0.97:  91%|█████████ | 906/1000 [01:45&lt;00:11,  8.48it/s]loss 0.07 accuracy 0.97:  91%|█████████ | 907/1000 [01:45&lt;00:11,  8.42it/s]loss 0.13 accuracy 0.97:  91%|█████████ | 907/1000 [01:45&lt;00:11,  8.42it/s]loss 0.13 accuracy 0.97:  91%|█████████ | 908/1000 [01:45&lt;00:10,  8.44it/s]loss 0.08 accuracy 0.98:  91%|█████████ | 908/1000 [01:46&lt;00:10,  8.44it/s]loss 0.08 accuracy 0.98:  91%|█████████ | 909/1000 [01:46&lt;00:10,  8.49it/s]loss 0.02 accuracy 0.99:  91%|█████████ | 909/1000 [01:46&lt;00:10,  8.49it/s]loss 0.02 accuracy 0.99:  91%|█████████ | 910/1000 [01:46&lt;00:10,  8.46it/s]loss 0.07 accuracy 0.97:  91%|█████████ | 910/1000 [01:46&lt;00:10,  8.46it/s]loss 0.07 accuracy 0.97:  91%|█████████ | 911/1000 [01:46&lt;00:10,  8.51it/s]loss 0.11 accuracy 0.96:  91%|█████████ | 911/1000 [01:46&lt;00:10,  8.51it/s]loss 0.11 accuracy 0.96:  91%|█████████ | 912/1000 [01:46&lt;00:10,  8.40it/s]loss 0.04 accuracy 0.99:  91%|█████████ | 912/1000 [01:46&lt;00:10,  8.40it/s]loss 0.04 accuracy 0.99:  91%|█████████▏| 913/1000 [01:46&lt;00:10,  8.49it/s]loss 0.04 accuracy 0.99:  91%|█████████▏| 913/1000 [01:46&lt;00:10,  8.49it/s]loss 0.04 accuracy 0.99:  91%|█████████▏| 914/1000 [01:46&lt;00:10,  8.42it/s]loss 0.04 accuracy 0.98:  91%|█████████▏| 914/1000 [01:46&lt;00:10,  8.42it/s]loss 0.04 accuracy 0.98:  92%|█████████▏| 915/1000 [01:46&lt;00:09,  8.56it/s]loss 0.14 accuracy 0.95:  92%|█████████▏| 915/1000 [01:46&lt;00:09,  8.56it/s]loss 0.14 accuracy 0.95:  92%|█████████▏| 916/1000 [01:46&lt;00:09,  8.67it/s]loss 0.03 accuracy 0.99:  92%|█████████▏| 916/1000 [01:46&lt;00:09,  8.67it/s]loss 0.03 accuracy 0.99:  92%|█████████▏| 917/1000 [01:46&lt;00:09,  8.83it/s]loss 0.04 accuracy 0.98:  92%|█████████▏| 917/1000 [01:47&lt;00:09,  8.83it/s]loss 0.04 accuracy 0.98:  92%|█████████▏| 918/1000 [01:47&lt;00:09,  8.64it/s]loss 0.11 accuracy 0.95:  92%|█████████▏| 918/1000 [01:47&lt;00:09,  8.64it/s]loss 0.11 accuracy 0.95:  92%|█████████▏| 919/1000 [01:47&lt;00:09,  8.60it/s]loss 0.02 accuracy 1.00:  92%|█████████▏| 919/1000 [01:47&lt;00:09,  8.60it/s]loss 0.02 accuracy 1.00:  92%|█████████▏| 920/1000 [01:47&lt;00:09,  8.51it/s]loss 0.07 accuracy 0.98:  92%|█████████▏| 920/1000 [01:47&lt;00:09,  8.51it/s]loss 0.07 accuracy 0.98:  92%|█████████▏| 921/1000 [01:47&lt;00:09,  8.51it/s]loss 0.11 accuracy 0.96:  92%|█████████▏| 921/1000 [01:47&lt;00:09,  8.51it/s]loss 0.11 accuracy 0.96:  92%|█████████▏| 922/1000 [01:47&lt;00:09,  8.51it/s]loss 0.11 accuracy 0.96:  92%|█████████▏| 922/1000 [01:47&lt;00:09,  8.51it/s]loss 0.11 accuracy 0.96:  92%|█████████▏| 923/1000 [01:47&lt;00:09,  8.51it/s]loss 0.15 accuracy 0.95:  92%|█████████▏| 923/1000 [01:47&lt;00:09,  8.51it/s]loss 0.15 accuracy 0.95:  92%|█████████▏| 924/1000 [01:47&lt;00:08,  8.51it/s]loss 0.13 accuracy 0.95:  92%|█████████▏| 924/1000 [01:47&lt;00:08,  8.51it/s]loss 0.13 accuracy 0.95:  92%|█████████▎| 925/1000 [01:47&lt;00:08,  8.77it/s]loss 0.04 accuracy 0.98:  92%|█████████▎| 925/1000 [01:47&lt;00:08,  8.77it/s]loss 0.07 accuracy 0.98:  92%|█████████▎| 925/1000 [01:48&lt;00:08,  8.77it/s]loss 0.07 accuracy 0.98:  93%|█████████▎| 927/1000 [01:48&lt;00:07,  9.30it/s]loss 0.11 accuracy 0.98:  93%|█████████▎| 927/1000 [01:48&lt;00:07,  9.30it/s]loss 0.11 accuracy 0.98:  93%|█████████▎| 928/1000 [01:48&lt;00:07,  9.34it/s]loss 0.03 accuracy 0.98:  93%|█████████▎| 928/1000 [01:48&lt;00:07,  9.34it/s]loss 0.03 accuracy 0.98:  93%|█████████▎| 929/1000 [01:48&lt;00:07,  9.10it/s]loss 0.07 accuracy 0.98:  93%|█████████▎| 929/1000 [01:48&lt;00:07,  9.10it/s]loss 0.07 accuracy 0.98:  93%|█████████▎| 930/1000 [01:48&lt;00:07,  8.97it/s]loss 0.10 accuracy 0.98:  93%|█████████▎| 930/1000 [01:48&lt;00:07,  8.97it/s]loss 0.10 accuracy 0.98:  93%|█████████▎| 931/1000 [01:48&lt;00:07,  8.75it/s]loss 0.08 accuracy 0.97:  93%|█████████▎| 931/1000 [01:48&lt;00:07,  8.75it/s]loss 0.08 accuracy 0.97:  93%|█████████▎| 932/1000 [01:48&lt;00:07,  8.66it/s]loss 0.05 accuracy 0.98:  93%|█████████▎| 932/1000 [01:48&lt;00:07,  8.66it/s]loss 0.05 accuracy 0.98:  93%|█████████▎| 933/1000 [01:48&lt;00:07,  8.55it/s]loss 0.11 accuracy 0.98:  93%|█████████▎| 933/1000 [01:48&lt;00:07,  8.55it/s]loss 0.11 accuracy 0.98:  93%|█████████▎| 934/1000 [01:48&lt;00:07,  8.45it/s]loss 0.08 accuracy 0.96:  93%|█████████▎| 934/1000 [01:49&lt;00:07,  8.45it/s]loss 0.08 accuracy 0.96:  94%|█████████▎| 935/1000 [01:49&lt;00:07,  8.40it/s]loss 0.09 accuracy 0.96:  94%|█████████▎| 935/1000 [01:49&lt;00:07,  8.40it/s]loss 0.09 accuracy 0.96:  94%|█████████▎| 936/1000 [01:49&lt;00:07,  8.42it/s]loss 0.07 accuracy 0.98:  94%|█████████▎| 936/1000 [01:49&lt;00:07,  8.42it/s]loss 0.07 accuracy 0.98:  94%|█████████▎| 937/1000 [01:49&lt;00:07,  8.40it/s]loss 0.06 accuracy 0.98:  94%|█████████▎| 937/1000 [01:49&lt;00:07,  8.40it/s]loss 0.06 accuracy 0.98:  94%|█████████▍| 938/1000 [01:49&lt;00:07,  8.56it/s]loss 0.06 accuracy 0.98:  94%|█████████▍| 938/1000 [01:49&lt;00:07,  8.56it/s]loss 0.06 accuracy 0.98:  94%|█████████▍| 939/1000 [01:49&lt;00:07,  8.56it/s]loss 0.09 accuracy 0.98:  94%|█████████▍| 939/1000 [01:49&lt;00:07,  8.56it/s]loss 0.09 accuracy 0.98:  94%|█████████▍| 940/1000 [01:49&lt;00:07,  8.52it/s]loss 0.12 accuracy 0.97:  94%|█████████▍| 940/1000 [01:49&lt;00:07,  8.52it/s]loss 0.12 accuracy 0.97:  94%|█████████▍| 941/1000 [01:49&lt;00:06,  8.52it/s]loss 0.13 accuracy 0.95:  94%|█████████▍| 941/1000 [01:49&lt;00:06,  8.52it/s]loss 0.13 accuracy 0.95:  94%|█████████▍| 942/1000 [01:49&lt;00:06,  8.50it/s]loss 0.06 accuracy 0.97:  94%|█████████▍| 942/1000 [01:49&lt;00:06,  8.50it/s]loss 0.06 accuracy 0.97:  94%|█████████▍| 943/1000 [01:49&lt;00:06,  8.52it/s]loss 0.05 accuracy 0.98:  94%|█████████▍| 943/1000 [01:50&lt;00:06,  8.52it/s]loss 0.05 accuracy 0.98:  94%|█████████▍| 944/1000 [01:50&lt;00:06,  8.52it/s]loss 0.10 accuracy 0.97:  94%|█████████▍| 944/1000 [01:50&lt;00:06,  8.52it/s]loss 0.10 accuracy 0.97:  94%|█████████▍| 945/1000 [01:50&lt;00:06,  8.48it/s]loss 0.10 accuracy 0.95:  94%|█████████▍| 945/1000 [01:50&lt;00:06,  8.48it/s]loss 0.10 accuracy 0.95:  95%|█████████▍| 946/1000 [01:50&lt;00:06,  8.50it/s]loss 0.05 accuracy 0.98:  95%|█████████▍| 946/1000 [01:50&lt;00:06,  8.50it/s]loss 0.05 accuracy 0.98:  95%|█████████▍| 947/1000 [01:50&lt;00:06,  8.53it/s]loss 0.13 accuracy 0.97:  95%|█████████▍| 947/1000 [01:50&lt;00:06,  8.53it/s]loss 0.13 accuracy 0.97:  95%|█████████▍| 948/1000 [01:50&lt;00:06,  8.57it/s]loss 0.07 accuracy 0.97:  95%|█████████▍| 948/1000 [01:50&lt;00:06,  8.57it/s]loss 0.06 accuracy 0.98:  95%|█████████▍| 948/1000 [01:50&lt;00:06,  8.57it/s]loss 0.06 accuracy 0.98:  95%|█████████▌| 950/1000 [01:50&lt;00:05,  9.19it/s]loss 0.03 accuracy 0.98:  95%|█████████▌| 950/1000 [01:50&lt;00:05,  9.19it/s]loss 0.03 accuracy 0.98:  95%|█████████▌| 951/1000 [01:50&lt;00:05,  9.04it/s]loss 0.08 accuracy 0.98:  95%|█████████▌| 951/1000 [01:50&lt;00:05,  9.04it/s]loss 0.08 accuracy 0.98:  95%|█████████▌| 952/1000 [01:50&lt;00:05,  8.88it/s]loss 0.02 accuracy 1.00:  95%|█████████▌| 952/1000 [01:51&lt;00:05,  8.88it/s]loss 0.02 accuracy 1.00:  95%|█████████▌| 953/1000 [01:51&lt;00:05,  8.72it/s]loss 0.09 accuracy 0.97:  95%|█████████▌| 953/1000 [01:51&lt;00:05,  8.72it/s]loss 0.09 accuracy 0.97:  95%|█████████▌| 954/1000 [01:51&lt;00:05,  8.60it/s]loss 0.02 accuracy 0.99:  95%|█████████▌| 954/1000 [01:51&lt;00:05,  8.60it/s]loss 0.02 accuracy 0.99:  96%|█████████▌| 955/1000 [01:51&lt;00:05,  8.58it/s]loss 0.19 accuracy 0.98:  96%|█████████▌| 955/1000 [01:51&lt;00:05,  8.58it/s]loss 0.19 accuracy 0.98:  96%|█████████▌| 956/1000 [01:51&lt;00:05,  8.54it/s]loss 0.19 accuracy 0.93:  96%|█████████▌| 956/1000 [01:51&lt;00:05,  8.54it/s]loss 0.19 accuracy 0.93:  96%|█████████▌| 957/1000 [01:51&lt;00:05,  8.46it/s]loss 0.04 accuracy 0.98:  96%|█████████▌| 957/1000 [01:51&lt;00:05,  8.46it/s]loss 0.04 accuracy 0.98:  96%|█████████▌| 958/1000 [01:51&lt;00:04,  8.47it/s]loss 0.11 accuracy 0.97:  96%|█████████▌| 958/1000 [01:51&lt;00:04,  8.47it/s]loss 0.11 accuracy 0.97:  96%|█████████▌| 959/1000 [01:51&lt;00:04,  8.50it/s]loss 0.02 accuracy 1.00:  96%|█████████▌| 959/1000 [01:51&lt;00:04,  8.50it/s]loss 0.02 accuracy 1.00:  96%|█████████▌| 960/1000 [01:51&lt;00:04,  8.55it/s]loss 0.10 accuracy 0.98:  96%|█████████▌| 960/1000 [01:52&lt;00:04,  8.55it/s]loss 0.10 accuracy 0.98:  96%|█████████▌| 961/1000 [01:52&lt;00:04,  8.46it/s]loss 0.10 accuracy 0.96:  96%|█████████▌| 961/1000 [01:52&lt;00:04,  8.46it/s]loss 0.10 accuracy 0.96:  96%|█████████▌| 962/1000 [01:52&lt;00:04,  8.46it/s]loss 0.07 accuracy 0.98:  96%|█████████▌| 962/1000 [01:52&lt;00:04,  8.46it/s]loss 0.07 accuracy 0.98:  96%|█████████▋| 963/1000 [01:52&lt;00:04,  8.44it/s]loss 0.09 accuracy 0.97:  96%|█████████▋| 963/1000 [01:52&lt;00:04,  8.44it/s]loss 0.09 accuracy 0.97:  96%|█████████▋| 964/1000 [01:52&lt;00:04,  8.45it/s]loss 0.18 accuracy 0.95:  96%|█████████▋| 964/1000 [01:52&lt;00:04,  8.45it/s]loss 0.18 accuracy 0.95:  96%|█████████▋| 965/1000 [01:52&lt;00:04,  8.11it/s]loss 0.04 accuracy 0.98:  96%|█████████▋| 965/1000 [01:52&lt;00:04,  8.11it/s]loss 0.04 accuracy 0.98:  97%|█████████▋| 966/1000 [01:52&lt;00:04,  8.28it/s]loss 0.07 accuracy 0.98:  97%|█████████▋| 966/1000 [01:52&lt;00:04,  8.28it/s]loss 0.07 accuracy 0.98:  97%|█████████▋| 967/1000 [01:52&lt;00:03,  8.32it/s]loss 0.21 accuracy 0.98:  97%|█████████▋| 967/1000 [01:52&lt;00:03,  8.32it/s]loss 0.21 accuracy 0.98:  97%|█████████▋| 968/1000 [01:52&lt;00:03,  8.43it/s]loss 0.11 accuracy 0.97:  97%|█████████▋| 968/1000 [01:53&lt;00:03,  8.43it/s]loss 0.11 accuracy 0.97:  97%|█████████▋| 969/1000 [01:53&lt;00:03,  8.40it/s]loss 0.08 accuracy 0.95:  97%|█████████▋| 969/1000 [01:53&lt;00:03,  8.40it/s]loss 0.08 accuracy 0.95:  97%|█████████▋| 970/1000 [01:53&lt;00:03,  8.36it/s]loss 0.03 accuracy 0.99:  97%|█████████▋| 970/1000 [01:53&lt;00:03,  8.36it/s]loss 0.03 accuracy 0.99:  97%|█████████▋| 971/1000 [01:53&lt;00:03,  8.43it/s]loss 0.10 accuracy 0.98:  97%|█████████▋| 971/1000 [01:53&lt;00:03,  8.43it/s]loss 0.10 accuracy 0.98:  97%|█████████▋| 972/1000 [01:53&lt;00:03,  8.67it/s]loss 0.16 accuracy 0.98:  97%|█████████▋| 972/1000 [01:53&lt;00:03,  8.67it/s]loss 0.16 accuracy 0.98:  97%|█████████▋| 973/1000 [01:53&lt;00:03,  8.61it/s]loss 0.15 accuracy 0.95:  97%|█████████▋| 973/1000 [01:53&lt;00:03,  8.61it/s]loss 0.15 accuracy 0.95:  97%|█████████▋| 974/1000 [01:53&lt;00:03,  8.58it/s]loss 0.09 accuracy 0.99:  97%|█████████▋| 974/1000 [01:53&lt;00:03,  8.58it/s]loss 0.09 accuracy 0.99:  98%|█████████▊| 975/1000 [01:53&lt;00:02,  8.70it/s]loss 0.07 accuracy 0.98:  98%|█████████▊| 975/1000 [01:53&lt;00:02,  8.70it/s]loss 0.07 accuracy 0.98:  98%|█████████▊| 976/1000 [01:53&lt;00:02,  8.82it/s]loss 0.05 accuracy 0.98:  98%|█████████▊| 976/1000 [01:53&lt;00:02,  8.82it/s]loss 0.05 accuracy 0.98:  98%|█████████▊| 977/1000 [01:53&lt;00:02,  8.70it/s]loss 0.06 accuracy 0.99:  98%|█████████▊| 977/1000 [01:54&lt;00:02,  8.70it/s]loss 0.06 accuracy 0.99:  98%|█████████▊| 978/1000 [01:54&lt;00:02,  8.62it/s]loss 0.09 accuracy 0.98:  98%|█████████▊| 978/1000 [01:54&lt;00:02,  8.62it/s]loss 0.09 accuracy 0.98:  98%|█████████▊| 979/1000 [01:54&lt;00:02,  8.58it/s]loss 0.02 accuracy 1.00:  98%|█████████▊| 979/1000 [01:54&lt;00:02,  8.58it/s]loss 0.02 accuracy 1.00:  98%|█████████▊| 980/1000 [01:54&lt;00:02,  8.44it/s]loss 0.03 accuracy 0.99:  98%|█████████▊| 980/1000 [01:54&lt;00:02,  8.44it/s]loss 0.03 accuracy 0.99:  98%|█████████▊| 981/1000 [01:54&lt;00:02,  8.45it/s]loss 0.06 accuracy 0.98:  98%|█████████▊| 981/1000 [01:54&lt;00:02,  8.45it/s]loss 0.06 accuracy 0.98:  98%|█████████▊| 982/1000 [01:54&lt;00:02,  8.39it/s]loss 0.08 accuracy 0.98:  98%|█████████▊| 982/1000 [01:54&lt;00:02,  8.39it/s]loss 0.08 accuracy 0.98:  98%|█████████▊| 983/1000 [01:54&lt;00:02,  8.38it/s]loss 0.09 accuracy 0.95: 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8.59it/s]loss 0.10 accuracy 0.98:  99%|█████████▉| 990/1000 [01:55&lt;00:01,  8.61it/s]loss 0.12 accuracy 0.96:  99%|█████████▉| 990/1000 [01:55&lt;00:01,  8.61it/s]loss 0.12 accuracy 0.96:  99%|█████████▉| 991/1000 [01:55&lt;00:01,  8.54it/s]loss 0.09 accuracy 0.99:  99%|█████████▉| 991/1000 [01:55&lt;00:01,  8.54it/s]loss 0.09 accuracy 0.99:  99%|█████████▉| 992/1000 [01:55&lt;00:00,  8.53it/s]loss 0.04 accuracy 0.98:  99%|█████████▉| 992/1000 [01:55&lt;00:00,  8.53it/s]loss 0.04 accuracy 0.98:  99%|█████████▉| 993/1000 [01:55&lt;00:00,  8.71it/s]loss 0.08 accuracy 0.98:  99%|█████████▉| 993/1000 [01:55&lt;00:00,  8.71it/s]loss 0.08 accuracy 0.98:  99%|█████████▉| 994/1000 [01:55&lt;00:00,  8.74it/s]loss 0.05 accuracy 0.98:  99%|█████████▉| 994/1000 [01:56&lt;00:00,  8.74it/s]loss 0.05 accuracy 0.98: 100%|█████████▉| 995/1000 [01:56&lt;00:00,  8.64it/s]loss 0.03 accuracy 0.98: 100%|█████████▉| 995/1000 [01:56&lt;00:00,  8.64it/s]loss 0.03 accuracy 0.98: 100%|█████████▉| 996/1000 [01:56&lt;00:00,  8.49it/s]loss 0.13 accuracy 0.94: 100%|█████████▉| 996/1000 [01:56&lt;00:00,  8.49it/s]loss 0.13 accuracy 0.94: 100%|█████████▉| 997/1000 [01:56&lt;00:00,  8.55it/s]loss 0.10 accuracy 0.98: 100%|█████████▉| 997/1000 [01:56&lt;00:00,  8.55it/s]loss 0.10 accuracy 0.98: 100%|█████████▉| 998/1000 [01:56&lt;00:00,  8.53it/s]loss 0.04 accuracy 0.99: 100%|█████████▉| 998/1000 [01:56&lt;00:00,  8.53it/s]loss 0.04 accuracy 0.99: 100%|█████████▉| 999/1000 [01:56&lt;00:00,  8.46it/s]loss 0.06 accuracy 0.98: 100%|█████████▉| 999/1000 [01:56&lt;00:00,  8.46it/s]loss 0.06 accuracy 0.98: 100%|██████████| 1000/1000 [01:56&lt;00:00,  7.99it/s]loss 0.06 accuracy 0.98: 100%|██████████| 1000/1000 [01:56&lt;00:00,  8.57it/s]<br/>  0%|          | 0/79 [00:00&lt;?, ?it/s]  5%|▌         | 4/79 [00:00&lt;00:02, 32.96it/s] 10%|█         | 8/79 [00:00&lt;00:02, 28.70it/s] 15%|█▌        | 12/79 [00:00&lt;00:02, 30.50it/s] 20%|██        | 16/79 [00:00&lt;00:01, 31.54it/s] 25%|██▌       | 20/79 [00:00&lt;00:01, 32.00it/s] 30%|███       | 24/79 [00:00&lt;00:01, 32.55it/s] 35%|███▌      | 28/79 [00:00&lt;00:01, 32.72it/s] 41%|████      | 32/79 [00:00&lt;00:01, 32.80it/s] 46%|████▌     | 36/79 [00:01&lt;00:01, 33.04it/s] 51%|█████     | 40/79 [00:01&lt;00:01, 33.40it/s] 56%|█████▌    | 44/79 [00:01&lt;00:01, 33.41it/s] 61%|██████    | 48/79 [00:01&lt;00:00, 33.26it/s] 66%|██████▌   | 52/79 [00:01&lt;00:00, 33.25it/s] 71%|███████   | 56/79 [00:01&lt;00:00, 33.27it/s] 76%|███████▌  | 60/79 [00:01&lt;00:00, 33.15it/s] 81%|████████  | 64/79 [00:01&lt;00:00, 33.18it/s] 86%|████████▌ | 68/79 [00:02&lt;00:00, 33.22it/s] 91%|█████████ | 72/79 [00:02&lt;00:00, 33.33it/s] 96%|█████████▌| 76/79 [00:02&lt;00:00, 33.22it/s]100%|██████████| 79/79 [00:02&lt;00:00, 33.00it/s]<br/></span>                                    </li>                                    <li class="text">                                        <span class="stdout">test set accuracy is 0.968200<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">1 m 42 s</div>                                            </em><em class="status">passed</em>test_sgd</span>                                <ul>                                    <li class="text">                                                <span class="stderr">  0%|          | 0/1000 [00:00&lt;?, ?it/s]loss 2.44 accuracy 0.18:   0%|          | 0/1000 [00:00&lt;?, ?it/s]loss 2.13 accuracy 0.23:   0%|          | 0/1000 [00:00&lt;?, ?it/s]loss 2.13 accuracy 0.23:   0%|          | 2/1000 [00:00&lt;01:35, 10.42it/s]loss 1.88 accuracy 0.50:   0%|          | 2/1000 [00:00&lt;01:35, 10.42it/s]loss 1.77 accuracy 0.38:   0%|          | 2/1000 [00:00&lt;01:35, 10.42it/s]loss 1.77 accuracy 0.38:   0%|          | 4/1000 [00:00&lt;01:37, 10.18it/s]loss 1.40 accuracy 0.60:   0%|          | 4/1000 [00:00&lt;01:37, 10.18it/s]loss 1.43 accuracy 0.53:   0%|          | 4/1000 [00:00&lt;01:37, 10.18it/s]loss 1.43 accuracy 0.53:   1%|          | 6/1000 [00:00&lt;01:38, 10.08it/s]loss 1.39 accuracy 0.56:   1%|          | 6/1000 [00:00&lt;01:38, 10.08it/s]loss 1.24 accuracy 0.63:   1%|          | 6/1000 [00:00&lt;01:38, 10.08it/s]loss 1.24 accuracy 0.63:   1%|          | 8/1000 [00:00&lt;01:39, 10.01it/s]loss 1.25 accuracy 0.55:   1%|          | 8/1000 [00:00&lt;01:39, 10.01it/s]loss 1.06 accuracy 0.65:   1%|          | 8/1000 [00:00&lt;01:39, 10.01it/s]loss 1.06 accuracy 0.65:   1%|          | 10/1000 [00:00&lt;01:39,  9.95it/s]loss 1.04 accuracy 0.66:   1%|          | 10/1000 [00:01&lt;01:39,  9.95it/s]loss 1.04 accuracy 0.66:   1%|          | 11/1000 [00:01&lt;01:39,  9.89it/s]loss 0.90 accuracy 0.71:   1%|          | 11/1000 [00:01&lt;01:39,  9.89it/s]loss 0.90 accuracy 0.71:   1%|          | 12/1000 [00:01&lt;01:39,  9.88it/s]loss 0.77 accuracy 0.77:   1%|          | 12/1000 [00:01&lt;01:39,  9.88it/s]loss 0.77 accuracy 0.77:   1%|▏         | 13/1000 [00:01&lt;01:40,  9.84it/s]loss 0.82 accuracy 0.75:   1%|▏         | 13/1000 [00:01&lt;01:40,  9.84it/s]loss 0.82 accuracy 0.75:   1%|▏         | 14/1000 [00:01&lt;01:40,  9.80it/s]loss 0.79 accuracy 0.74:   1%|▏         | 14/1000 [00:01&lt;01:40,  9.80it/s]loss 0.79 accuracy 0.74:   2%|▏         | 15/1000 [00:01&lt;01:40,  9.83it/s]loss 0.97 accuracy 0.68:   2%|▏         | 15/1000 [00:01&lt;01:40,  9.83it/s]loss 0.97 accuracy 0.68:   2%|▏         | 16/1000 [00:01&lt;01:40,  9.83it/s]loss 0.88 accuracy 0.72:   2%|▏         | 16/1000 [00:01&lt;01:40,  9.83it/s]loss 0.60 accuracy 0.79:   2%|▏         | 16/1000 [00:01&lt;01:40,  9.83it/s]loss 0.60 accuracy 0.79:   2%|▏         | 18/1000 [00:01&lt;01:38,  9.98it/s]loss 0.59 accuracy 0.85:   2%|▏         | 18/1000 [00:01&lt;01:38,  9.98it/s]loss 0.54 accuracy 0.86:   2%|▏         | 18/1000 [00:02&lt;01:38,  9.98it/s]loss 0.54 accuracy 0.86:   2%|▏         | 20/1000 [00:02&lt;01:38, 10.00it/s]loss 0.49 accuracy 0.86:   2%|▏         | 20/1000 [00:02&lt;01:38, 10.00it/s]loss 0.49 accuracy 0.86:   2%|▏         | 21/1000 [00:02&lt;01:38,  9.92it/s]loss 0.63 accuracy 0.77:   2%|▏         | 21/1000 [00:02&lt;01:38,  9.92it/s]loss 0.63 accuracy 0.77:   2%|▏         | 22/1000 [00:02&lt;01:38,  9.93it/s]loss 0.58 accuracy 0.81:   2%|▏         | 22/1000 [00:02&lt;01:38,  9.93it/s]loss 0.58 accuracy 0.81:   2%|▏         | 23/1000 [00:02&lt;01:38,  9.94it/s]loss 0.54 accuracy 0.84:   2%|▏         | 23/1000 [00:02&lt;01:38,  9.94it/s]loss 0.54 accuracy 0.84:   2%|▏         | 24/1000 [00:02&lt;01:38,  9.92it/s]loss 0.40 accuracy 0.87:   2%|▏         | 24/1000 [00:02&lt;01:38,  9.92it/s]loss 0.40 accuracy 0.87:   2%|▎         | 25/1000 [00:02&lt;01:38,  9.91it/s]loss 0.70 accuracy 0.79:   2%|▎         | 25/1000 [00:02&lt;01:38,  9.91it/s]loss 0.86 accuracy 0.71:   2%|▎         | 25/1000 [00:02&lt;01:38,  9.91it/s]loss 0.86 accuracy 0.71:   3%|▎         | 27/1000 [00:02&lt;01:37,  9.94it/s]loss 0.69 accuracy 0.81:   3%|▎         | 27/1000 [00:02&lt;01:37,  9.94it/s]loss 0.53 accuracy 0.87:   3%|▎         | 27/1000 [00:02&lt;01:37,  9.94it/s]loss 0.53 accuracy 0.87:   3%|▎         | 29/1000 [00:02&lt;01:37,  9.97it/s]loss 0.47 accuracy 0.87:   3%|▎         | 29/1000 [00:03&lt;01:37,  9.97it/s]loss 0.61 accuracy 0.82:   3%|▎         | 29/1000 [00:03&lt;01:37,  9.97it/s]loss 0.61 accuracy 0.82:   3%|▎         | 31/1000 [00:03&lt;01:37,  9.99it/s]loss 0.43 accuracy 0.89:   3%|▎         | 31/1000 [00:03&lt;01:37,  9.99it/s]loss 0.39 accuracy 0.91:   3%|▎         | 31/1000 [00:03&lt;01:37,  9.99it/s]loss 0.39 accuracy 0.91:   3%|▎         | 33/1000 [00:03&lt;01:36, 10.02it/s]loss 0.42 accuracy 0.87:   3%|▎         | 33/1000 [00:03&lt;01:36, 10.02it/s]loss 0.47 accuracy 0.86:   3%|▎         | 33/1000 [00:03&lt;01:36, 10.02it/s]loss 0.47 accuracy 0.86:   4%|▎         | 35/1000 [00:03&lt;01:36,  9.96it/s]loss 0.48 accuracy 0.85:   4%|▎         | 35/1000 [00:03&lt;01:36,  9.96it/s]loss 0.36 accuracy 0.89:   4%|▎         | 35/1000 [00:03&lt;01:36,  9.96it/s]loss 0.36 accuracy 0.89:   4%|▎         | 37/1000 [00:03&lt;01:35, 10.06it/s]loss 0.50 accuracy 0.84:   4%|▎         | 37/1000 [00:03&lt;01:35, 10.06it/s]loss 0.56 accuracy 0.85:   4%|▎         | 37/1000 [00:03&lt;01:35, 10.06it/s]loss 0.56 accuracy 0.85:   4%|▍         | 39/1000 [00:03&lt;01:36, 10.00it/s]loss 0.35 accuracy 0.89:   4%|▍         | 39/1000 [00:04&lt;01:36, 10.00it/s]loss 0.35 accuracy 0.89:   4%|▍         | 40/1000 [00:04&lt;01:36,  9.98it/s]loss 0.26 accuracy 0.95:   4%|▍         | 40/1000 [00:04&lt;01:36,  9.98it/s]loss 0.34 accuracy 0.91:   4%|▍         | 40/1000 [00:04&lt;01:36,  9.98it/s]loss 0.34 accuracy 0.91:   4%|▍         | 42/1000 [00:04&lt;01:35, 10.04it/s]loss 0.43 accuracy 0.86:   4%|▍         | 42/1000 [00:04&lt;01:35, 10.04it/s]loss 0.34 accuracy 0.88:   4%|▍         | 42/1000 [00:04&lt;01:35, 10.04it/s]loss 0.34 accuracy 0.88:   4%|▍         | 44/1000 [00:04&lt;01:35,  9.97it/s]loss 0.33 accuracy 0.91:   4%|▍         | 44/1000 [00:04&lt;01:35,  9.97it/s]loss 0.34 accuracy 0.94:   4%|▍         | 44/1000 [00:04&lt;01:35,  9.97it/s]loss 0.34 accuracy 0.94:   5%|▍         | 46/1000 [00:04&lt;01:35,  9.97it/s]loss 0.39 accuracy 0.91:   5%|▍         | 46/1000 [00:04&lt;01:35,  9.97it/s]loss 0.39 accuracy 0.91:   5%|▍         | 47/1000 [00:04&lt;01:35,  9.96it/s]loss 0.34 accuracy 0.88:   5%|▍         | 47/1000 [00:04&lt;01:35,  9.96it/s]loss 0.34 accuracy 0.88:   5%|▍         | 48/1000 [00:04&lt;01:35,  9.94it/s]loss 0.32 accuracy 0.93:   5%|▍         | 48/1000 [00:04&lt;01:35,  9.94it/s]loss 0.41 accuracy 0.88:   5%|▍         | 48/1000 [00:05&lt;01:35,  9.94it/s]loss 0.41 accuracy 0.88:   5%|▌         | 50/1000 [00:05&lt;01:35,  9.97it/s]loss 0.32 accuracy 0.90:   5%|▌         | 50/1000 [00:05&lt;01:35,  9.97it/s]loss 0.42 accuracy 0.88:   5%|▌         | 50/1000 [00:05&lt;01:35,  9.97it/s]loss 0.42 accuracy 0.88:   5%|▌         | 52/1000 [00:05&lt;01:34,  9.99it/s]loss 0.37 accuracy 0.88:   5%|▌         | 52/1000 [00:05&lt;01:34,  9.99it/s]loss 0.51 accuracy 0.84:   5%|▌         | 52/1000 [00:05&lt;01:34,  9.99it/s]loss 0.51 accuracy 0.84:   5%|▌         | 54/1000 [00:05&lt;01:34, 10.00it/s]loss 0.43 accuracy 0.85:   5%|▌         | 54/1000 [00:05&lt;01:34, 10.00it/s]loss 0.43 accuracy 0.85:   6%|▌         | 55/1000 [00:05&lt;01:34,  9.98it/s]loss 0.45 accuracy 0.87:   6%|▌         | 55/1000 [00:05&lt;01:34,  9.98it/s]loss 0.46 accuracy 0.89:   6%|▌         | 55/1000 [00:05&lt;01:34,  9.98it/s]loss 0.46 accuracy 0.89:   6%|▌         | 57/1000 [00:05&lt;01:34, 10.01it/s]loss 0.43 accuracy 0.89:   6%|▌         | 57/1000 [00:05&lt;01:34, 10.01it/s]loss 0.37 accuracy 0.92:   6%|▌         | 57/1000 [00:05&lt;01:34, 10.01it/s]loss 0.37 accuracy 0.92:   6%|▌         | 59/1000 [00:05&lt;01:33, 10.08it/s]loss 0.40 accuracy 0.85:   6%|▌         | 59/1000 [00:06&lt;01:33, 10.08it/s]loss 0.37 accuracy 0.87:   6%|▌         | 59/1000 [00:06&lt;01:33, 10.08it/s]loss 0.37 accuracy 0.87:   6%|▌         | 61/1000 [00:06&lt;01:33, 10.02it/s]loss 0.50 accuracy 0.89:   6%|▌         | 61/1000 [00:06&lt;01:33, 10.02it/s]loss 0.34 accuracy 0.89:   6%|▌         | 61/1000 [00:06&lt;01:33, 10.02it/s]loss 0.34 accuracy 0.89:   6%|▋         | 63/1000 [00:06&lt;01:33, 10.01it/s]loss 0.23 accuracy 0.94:   6%|▋         | 63/1000 [00:06&lt;01:33, 10.01it/s]loss 0.39 accuracy 0.87:   6%|▋         | 63/1000 [00:06&lt;01:33, 10.01it/s]loss 0.39 accuracy 0.87:   6%|▋         | 65/1000 [00:06&lt;01:33,  9.96it/s]loss 0.42 accuracy 0.90:   6%|▋         | 65/1000 [00:06&lt;01:33,  9.96it/s]loss 0.36 accuracy 0.89:   6%|▋         | 65/1000 [00:06&lt;01:33,  9.96it/s]loss 0.36 accuracy 0.89:   7%|▋         | 67/1000 [00:06&lt;01:33,  9.98it/s]loss 0.33 accuracy 0.87:   7%|▋         | 67/1000 [00:06&lt;01:33,  9.98it/s]loss 0.33 accuracy 0.88:   7%|▋         | 67/1000 [00:06&lt;01:33,  9.98it/s]loss 0.33 accuracy 0.88:   7%|▋         | 69/1000 [00:06&lt;01:31, 10.17it/s]loss 0.43 accuracy 0.85:   7%|▋         | 69/1000 [00:06&lt;01:31, 10.17it/s]loss 0.34 accuracy 0.90:   7%|▋         | 69/1000 [00:07&lt;01:31, 10.17it/s]loss 0.34 accuracy 0.90:   7%|▋         | 71/1000 [00:07&lt;01:31, 10.20it/s]loss 0.33 accuracy 0.89:   7%|▋         | 71/1000 [00:07&lt;01:31, 10.20it/s]loss 0.42 accuracy 0.86:   7%|▋         | 71/1000 [00:07&lt;01:31, 10.20it/s]loss 0.42 accuracy 0.86:   7%|▋         | 73/1000 [00:07&lt;01:31, 10.11it/s]loss 0.31 accuracy 0.91:   7%|▋         | 73/1000 [00:07&lt;01:31, 10.11it/s]loss 0.50 accuracy 0.86:   7%|▋         | 73/1000 [00:07&lt;01:31, 10.11it/s]loss 0.50 accuracy 0.86:   8%|▊         | 75/1000 [00:07&lt;01:32, 10.05it/s]loss 0.36 accuracy 0.90:   8%|▊         | 75/1000 [00:07&lt;01:32, 10.05it/s]loss 0.36 accuracy 0.88:   8%|▊         | 75/1000 [00:07&lt;01:32, 10.05it/s]loss 0.36 accuracy 0.88:   8%|▊         | 77/1000 [00:07&lt;01:32, 10.02it/s]loss 0.32 accuracy 0.91:   8%|▊         | 77/1000 [00:07&lt;01:32, 10.02it/s]loss 0.36 accuracy 0.89:   8%|▊         | 77/1000 [00:07&lt;01:32, 10.02it/s]loss 0.36 accuracy 0.89:   8%|▊         | 79/1000 [00:07&lt;01:31, 10.05it/s]loss 0.22 accuracy 0.94:   8%|▊         | 79/1000 [00:08&lt;01:31, 10.05it/s]loss 0.45 accuracy 0.88:   8%|▊         | 79/1000 [00:08&lt;01:31, 10.05it/s]loss 0.45 accuracy 0.88:   8%|▊         | 81/1000 [00:08&lt;01:35,  9.62it/s]loss 0.40 accuracy 0.87:   8%|▊         | 81/1000 [00:08&lt;01:35,  9.62it/s]loss 0.40 accuracy 0.87:   8%|▊         | 82/1000 [00:08&lt;01:35,  9.64it/s]loss 0.32 accuracy 0.91:   8%|▊         | 82/1000 [00:08&lt;01:35,  9.64it/s]loss 0.26 accuracy 0.91:   8%|▊         | 82/1000 [00:08&lt;01:35,  9.64it/s]loss 0.26 accuracy 0.91:   8%|▊         | 84/1000 [00:08&lt;01:33,  9.80it/s]loss 0.15 accuracy 0.97:   8%|▊         | 84/1000 [00:08&lt;01:33,  9.80it/s]loss 0.25 accuracy 0.90:   8%|▊         | 84/1000 [00:08&lt;01:33,  9.80it/s]loss 0.25 accuracy 0.90:   9%|▊         | 86/1000 [00:08&lt;01:32,  9.88it/s]loss 0.18 accuracy 0.95:   9%|▊         | 86/1000 [00:08&lt;01:32,  9.88it/s]loss 0.18 accuracy 0.95:   9%|▊         | 87/1000 [00:08&lt;01:36,  9.51it/s]loss 0.30 accuracy 0.91:   9%|▊         | 87/1000 [00:08&lt;01:36,  9.51it/s]loss 0.30 accuracy 0.91:   9%|▉         | 88/1000 [00:08&lt;01:35,  9.57it/s]loss 0.40 accuracy 0.89:   9%|▉         | 88/1000 [00:08&lt;01:35,  9.57it/s]loss 0.40 accuracy 0.89:   9%|▉         | 89/1000 [00:08&lt;01:34,  9.65it/s]loss 0.29 accuracy 0.90:   9%|▉         | 89/1000 [00:09&lt;01:34,  9.65it/s]loss 0.29 accuracy 0.90:   9%|▉         | 90/1000 [00:09&lt;01:34,  9.66it/s]loss 0.34 accuracy 0.88:   9%|▉         | 90/1000 [00:09&lt;01:34,  9.66it/s]loss 0.34 accuracy 0.88:   9%|▉         | 91/1000 [00:09&lt;01:39,  9.16it/s]loss 0.30 accuracy 0.93:   9%|▉         | 91/1000 [00:09&lt;01:39,  9.16it/s]loss 0.25 accuracy 0.92:   9%|▉         | 91/1000 [00:09&lt;01:39,  9.16it/s]loss 0.25 accuracy 0.92:   9%|▉         | 93/1000 [00:09&lt;01:33,  9.70it/s]loss 0.40 accuracy 0.87:   9%|▉         | 93/1000 [00:09&lt;01:33,  9.70it/s]loss 0.45 accuracy 0.86:   9%|▉         | 93/1000 [00:09&lt;01:33,  9.70it/s]loss 0.45 accuracy 0.86:  10%|▉         | 95/1000 [00:09&lt;01:32,  9.79it/s]loss 0.30 accuracy 0.87:  10%|▉         | 95/1000 [00:09&lt;01:32,  9.79it/s]loss 0.30 accuracy 0.87:  10%|▉         | 96/1000 [00:09&lt;01:33,  9.64it/s]loss 0.37 accuracy 0.89:  10%|▉         | 96/1000 [00:09&lt;01:33,  9.64it/s]loss 0.37 accuracy 0.89:  10%|▉         | 97/1000 [00:09&lt;01:33,  9.68it/s]loss 0.23 accuracy 0.96:  10%|▉         | 97/1000 [00:09&lt;01:33,  9.68it/s]loss 0.23 accuracy 0.96:  10%|▉         | 98/1000 [00:09&lt;01:33,  9.69it/s]loss 0.32 accuracy 0.91:  10%|▉         | 98/1000 [00:09&lt;01:33,  9.69it/s]loss 0.39 accuracy 0.92:  10%|▉         | 98/1000 [00:10&lt;01:33,  9.69it/s]loss 0.39 accuracy 0.92:  10%|█         | 100/1000 [00:10&lt;01:31,  9.80it/s]loss 0.33 accuracy 0.91:  10%|█         | 100/1000 [00:10&lt;01:31,  9.80it/s]loss 0.33 accuracy 0.91:  10%|█         | 101/1000 [00:10&lt;01:31,  9.84it/s]loss 0.27 accuracy 0.91:  10%|█         | 101/1000 [00:10&lt;01:31,  9.84it/s]loss 0.30 accuracy 0.88:  10%|█         | 101/1000 [00:10&lt;01:31,  9.84it/s]loss 0.30 accuracy 0.88:  10%|█         | 103/1000 [00:10&lt;01:29,  9.99it/s]loss 0.22 accuracy 0.94:  10%|█         | 103/1000 [00:10&lt;01:29,  9.99it/s]loss 0.22 accuracy 0.94:  10%|█         | 104/1000 [00:10&lt;01:29,  9.96it/s]loss 0.25 accuracy 0.94:  10%|█         | 104/1000 [00:10&lt;01:29,  9.96it/s]loss 0.39 accuracy 0.89:  10%|█         | 104/1000 [00:10&lt;01:29,  9.96it/s]loss 0.39 accuracy 0.89:  11%|█         | 106/1000 [00:10&lt;01:29,  9.95it/s]loss 0.25 accuracy 0.89:  11%|█         | 106/1000 [00:10&lt;01:29,  9.95it/s]loss 0.25 accuracy 0.89:  11%|█         | 107/1000 [00:10&lt;01:29,  9.92it/s]loss 0.23 accuracy 0.94:  11%|█         | 107/1000 [00:10&lt;01:29,  9.92it/s]loss 0.23 accuracy 0.94:  11%|█         | 108/1000 [00:10&lt;01:30,  9.90it/s]loss 0.29 accuracy 0.94:  11%|█         | 108/1000 [00:10&lt;01:30,  9.90it/s]loss 0.29 accuracy 0.94:  11%|█         | 109/1000 [00:10&lt;01:30,  9.85it/s]loss 0.26 accuracy 0.93:  11%|█         | 109/1000 [00:11&lt;01:30,  9.85it/s]loss 0.26 accuracy 0.93:  11%|█         | 110/1000 [00:11&lt;01:30,  9.82it/s]loss 0.24 accuracy 0.93:  11%|█         | 110/1000 [00:11&lt;01:30,  9.82it/s]loss 0.24 accuracy 0.93:  11%|█         | 111/1000 [00:11&lt;01:30,  9.81it/s]loss 0.24 accuracy 0.93:  11%|█         | 111/1000 [00:11&lt;01:30,  9.81it/s]loss 0.32 accuracy 0.92:  11%|█         | 111/1000 [00:11&lt;01:30,  9.81it/s]loss 0.32 accuracy 0.92:  11%|█▏        | 113/1000 [00:11&lt;01:29,  9.91it/s]loss 0.33 accuracy 0.91:  11%|█▏        | 113/1000 [00:11&lt;01:29,  9.91it/s]loss 0.33 accuracy 0.91:  11%|█▏        | 114/1000 [00:11&lt;01:29,  9.88it/s]loss 0.36 accuracy 0.93:  11%|█▏        | 114/1000 [00:11&lt;01:29,  9.88it/s]loss 0.36 accuracy 0.93:  12%|█▏        | 115/1000 [00:11&lt;01:29,  9.85it/s]loss 0.30 accuracy 0.92:  12%|█▏        | 115/1000 [00:11&lt;01:29,  9.85it/s]loss 0.27 accuracy 0.95:  12%|█▏        | 115/1000 [00:11&lt;01:29,  9.85it/s]loss 0.27 accuracy 0.95:  12%|█▏        | 117/1000 [00:11&lt;01:28,  9.93it/s]loss 0.26 accuracy 0.93:  12%|█▏        | 117/1000 [00:11&lt;01:28,  9.93it/s]loss 0.18 accuracy 0.96:  12%|█▏        | 117/1000 [00:12&lt;01:28,  9.93it/s]loss 0.18 accuracy 0.96:  12%|█▏        | 119/1000 [00:12&lt;01:28,  9.95it/s]loss 0.56 accuracy 0.88:  12%|█▏        | 119/1000 [00:12&lt;01:28,  9.95it/s]loss 0.56 accuracy 0.88:  12%|█▏        | 120/1000 [00:12&lt;01:28,  9.91it/s]loss 0.26 accuracy 0.91:  12%|█▏        | 120/1000 [00:12&lt;01:28,  9.91it/s]loss 0.26 accuracy 0.91:  12%|█▏        | 121/1000 [00:12&lt;01:29,  9.86it/s]loss 0.25 accuracy 0.92:  12%|█▏        | 121/1000 [00:12&lt;01:29,  9.86it/s]loss 0.25 accuracy 0.92:  12%|█▏        | 122/1000 [00:12&lt;01:29,  9.85it/s]loss 0.20 accuracy 0.95:  12%|█▏        | 122/1000 [00:12&lt;01:29,  9.85it/s]loss 0.21 accuracy 0.96:  12%|█▏        | 122/1000 [00:12&lt;01:29,  9.85it/s]loss 0.21 accuracy 0.96:  12%|█▏        | 124/1000 [00:12&lt;01:28,  9.95it/s]loss 0.31 accuracy 0.92:  12%|█▏        | 124/1000 [00:12&lt;01:28,  9.95it/s]loss 0.31 accuracy 0.92:  12%|█▎        | 125/1000 [00:12&lt;01:28,  9.91it/s]loss 0.30 accuracy 0.90:  12%|█▎        | 125/1000 [00:12&lt;01:28,  9.91it/s]loss 0.30 accuracy 0.90:  13%|█▎        | 126/1000 [00:12&lt;01:28,  9.93it/s]loss 0.25 accuracy 0.92:  13%|█▎        | 126/1000 [00:12&lt;01:28,  9.93it/s]loss 0.30 accuracy 0.92:  13%|█▎        | 126/1000 [00:12&lt;01:28,  9.93it/s]loss 0.30 accuracy 0.92:  13%|█▎        | 128/1000 [00:12&lt;01:27,  9.94it/s]loss 0.22 accuracy 0.94:  13%|█▎        | 128/1000 [00:13&lt;01:27,  9.94it/s]loss 0.33 accuracy 0.91:  13%|█▎        | 128/1000 [00:13&lt;01:27,  9.94it/s]loss 0.33 accuracy 0.91:  13%|█▎        | 130/1000 [00:13&lt;01:27, 10.00it/s]loss 0.35 accuracy 0.90:  13%|█▎        | 130/1000 [00:13&lt;01:27, 10.00it/s]loss 0.35 accuracy 0.88:  13%|█▎        | 130/1000 [00:13&lt;01:27, 10.00it/s]loss 0.35 accuracy 0.88:  13%|█▎        | 132/1000 [00:13&lt;01:26, 10.00it/s]loss 0.25 accuracy 0.92:  13%|█▎        | 132/1000 [00:13&lt;01:26, 10.00it/s]loss 0.28 accuracy 0.91:  13%|█▎        | 132/1000 [00:13&lt;01:26, 10.00it/s]loss 0.28 accuracy 0.91:  13%|█▎        | 134/1000 [00:13&lt;01:26, 10.02it/s]loss 0.35 accuracy 0.91:  13%|█▎        | 134/1000 [00:13&lt;01:26, 10.02it/s]loss 0.30 accuracy 0.91:  13%|█▎        | 134/1000 [00:13&lt;01:26, 10.02it/s]loss 0.30 accuracy 0.91:  14%|█▎        | 136/1000 [00:13&lt;01:26,  9.98it/s]loss 0.17 accuracy 0.98:  14%|█▎        | 136/1000 [00:13&lt;01:26,  9.98it/s]loss 0.17 accuracy 0.98:  14%|█▎        | 137/1000 [00:13&lt;01:26,  9.96it/s]loss 0.27 accuracy 0.93:  14%|█▎        | 137/1000 [00:13&lt;01:26,  9.96it/s]loss 0.26 accuracy 0.92:  14%|█▎        | 137/1000 [00:14&lt;01:26,  9.96it/s]loss 0.26 accuracy 0.92:  14%|█▍        | 139/1000 [00:14&lt;01:25, 10.03it/s]loss 0.29 accuracy 0.94:  14%|█▍        | 139/1000 [00:14&lt;01:25, 10.03it/s]loss 0.21 accuracy 0.94:  14%|█▍        | 139/1000 [00:14&lt;01:25, 10.03it/s]loss 0.21 accuracy 0.94:  14%|█▍        | 141/1000 [00:14&lt;01:25,  9.99it/s]loss 0.26 accuracy 0.94:  14%|█▍        | 141/1000 [00:14&lt;01:25,  9.99it/s]loss 0.26 accuracy 0.94:  14%|█▍        | 142/1000 [00:14&lt;01:26,  9.97it/s]loss 0.25 accuracy 0.95:  14%|█▍        | 142/1000 [00:14&lt;01:26,  9.97it/s]loss 0.19 accuracy 0.94:  14%|█▍        | 142/1000 [00:14&lt;01:26,  9.97it/s]loss 0.19 accuracy 0.94:  14%|█▍        | 144/1000 [00:14&lt;01:26,  9.88it/s]loss 0.26 accuracy 0.91:  14%|█▍        | 144/1000 [00:14&lt;01:26,  9.88it/s]loss 0.26 accuracy 0.91:  14%|█▍        | 145/1000 [00:14&lt;01:27,  9.76it/s]loss 0.26 accuracy 0.91:  14%|█▍        | 145/1000 [00:14&lt;01:27,  9.76it/s]loss 0.26 accuracy 0.91:  15%|█▍        | 146/1000 [00:14&lt;01:28,  9.70it/s]loss 0.20 accuracy 0.95:  15%|█▍        | 146/1000 [00:14&lt;01:28,  9.70it/s]loss 0.20 accuracy 0.95:  15%|█▍        | 147/1000 [00:14&lt;01:28,  9.67it/s]loss 0.27 accuracy 0.92:  15%|█▍        | 147/1000 [00:14&lt;01:28,  9.67it/s]loss 0.16 accuracy 0.97:  15%|█▍        | 147/1000 [00:15&lt;01:28,  9.67it/s]loss 0.16 accuracy 0.97:  15%|█▍        | 149/1000 [00:15&lt;01:25, 10.00it/s]loss 0.37 accuracy 0.88:  15%|█▍        | 149/1000 [00:15&lt;01:25, 10.00it/s]loss 0.18 accuracy 0.94:  15%|█▍        | 149/1000 [00:15&lt;01:25, 10.00it/s]loss 0.18 accuracy 0.94:  15%|█▌        | 151/1000 [00:15&lt;01:22, 10.35it/s]loss 0.29 accuracy 0.90:  15%|█▌        | 151/1000 [00:15&lt;01:22, 10.35it/s]loss 0.19 accuracy 0.95:  15%|█▌        | 151/1000 [00:15&lt;01:22, 10.35it/s]loss 0.19 accuracy 0.95:  15%|█▌        | 153/1000 [00:15&lt;01:20, 10.58it/s]loss 0.30 accuracy 0.88:  15%|█▌        | 153/1000 [00:15&lt;01:20, 10.58it/s]loss 0.33 accuracy 0.88:  15%|█▌        | 153/1000 [00:15&lt;01:20, 10.58it/s]loss 0.33 accuracy 0.88:  16%|█▌        | 155/1000 [00:15&lt;01:21, 10.40it/s]loss 0.35 accuracy 0.88:  16%|█▌        | 155/1000 [00:15&lt;01:21, 10.40it/s]loss 0.29 accuracy 0.91:  16%|█▌        | 155/1000 [00:15&lt;01:21, 10.40it/s]loss 0.29 accuracy 0.91:  16%|█▌        | 157/1000 [00:15&lt;01:22, 10.26it/s]loss 0.19 accuracy 0.97:  16%|█▌        | 157/1000 [00:15&lt;01:22, 10.26it/s]loss 0.23 accuracy 0.91:  16%|█▌        | 157/1000 [00:15&lt;01:22, 10.26it/s]loss 0.23 accuracy 0.91:  16%|█▌        | 159/1000 [00:15&lt;01:20, 10.47it/s]loss 0.25 accuracy 0.93:  16%|█▌        | 159/1000 [00:16&lt;01:20, 10.47it/s]loss 0.27 accuracy 0.91:  16%|█▌        | 159/1000 [00:16&lt;01:20, 10.47it/s]loss 0.27 accuracy 0.91:  16%|█▌        | 161/1000 [00:16&lt;01:19, 10.52it/s]loss 0.12 accuracy 0.98:  16%|█▌        | 161/1000 [00:16&lt;01:19, 10.52it/s]loss 0.17 accuracy 0.96:  16%|█▌        | 161/1000 [00:16&lt;01:19, 10.52it/s]loss 0.17 accuracy 0.96:  16%|█▋        | 163/1000 [00:16&lt;01:20, 10.41it/s]loss 0.31 accuracy 0.93:  16%|█▋        | 163/1000 [00:16&lt;01:20, 10.41it/s]loss 0.30 accuracy 0.90:  16%|█▋        | 163/1000 [00:16&lt;01:20, 10.41it/s]loss 0.30 accuracy 0.90:  16%|█▋        | 165/1000 [00:16&lt;01:21, 10.25it/s]loss 0.26 accuracy 0.91:  16%|█▋        | 165/1000 [00:16&lt;01:21, 10.25it/s]loss 0.25 accuracy 0.94:  16%|█▋        | 165/1000 [00:16&lt;01:21, 10.25it/s]loss 0.25 accuracy 0.94:  17%|█▋        | 167/1000 [00:16&lt;01:21, 10.17it/s]loss 0.30 accuracy 0.93:  17%|█▋        | 167/1000 [00:16&lt;01:21, 10.17it/s]loss 0.33 accuracy 0.91:  17%|█▋        | 167/1000 [00:16&lt;01:21, 10.17it/s]loss 0.33 accuracy 0.91:  17%|█▋        | 169/1000 [00:16&lt;01:22, 10.13it/s]loss 0.30 accuracy 0.91:  17%|█▋        | 169/1000 [00:17&lt;01:22, 10.13it/s]loss 0.22 accuracy 0.93:  17%|█▋        | 169/1000 [00:17&lt;01:22, 10.13it/s]loss 0.22 accuracy 0.93:  17%|█▋        | 171/1000 [00:17&lt;01:21, 10.22it/s]loss 0.27 accuracy 0.91:  17%|█▋        | 171/1000 [00:17&lt;01:21, 10.22it/s]loss 0.29 accuracy 0.90:  17%|█▋        | 171/1000 [00:17&lt;01:21, 10.22it/s]loss 0.29 accuracy 0.90:  17%|█▋        | 173/1000 [00:17&lt;01:20, 10.28it/s]loss 0.27 accuracy 0.94:  17%|█▋        | 173/1000 [00:17&lt;01:20, 10.28it/s]loss 0.31 accuracy 0.87:  17%|█▋        | 173/1000 [00:17&lt;01:20, 10.28it/s]loss 0.31 accuracy 0.87:  18%|█▊        | 175/1000 [00:17&lt;01:20, 10.25it/s]loss 0.24 accuracy 0.92:  18%|█▊        | 175/1000 [00:17&lt;01:20, 10.25it/s]loss 0.27 accuracy 0.94:  18%|█▊        | 175/1000 [00:17&lt;01:20, 10.25it/s]loss 0.27 accuracy 0.94:  18%|█▊        | 177/1000 [00:17&lt;01:20, 10.24it/s]loss 0.31 accuracy 0.92:  18%|█▊        | 177/1000 [00:17&lt;01:20, 10.24it/s]loss 0.19 accuracy 0.97:  18%|█▊        | 177/1000 [00:17&lt;01:20, 10.24it/s]loss 0.19 accuracy 0.97:  18%|█▊        | 179/1000 [00:17&lt;01:21, 10.12it/s]loss 0.38 accuracy 0.93:  18%|█▊        | 179/1000 [00:18&lt;01:21, 10.12it/s]loss 0.25 accuracy 0.92:  18%|█▊        | 179/1000 [00:18&lt;01:21, 10.12it/s]loss 0.25 accuracy 0.92:  18%|█▊        | 181/1000 [00:18&lt;01:21, 10.11it/s]loss 0.23 accuracy 0.91:  18%|█▊        | 181/1000 [00:18&lt;01:21, 10.11it/s]loss 0.22 accuracy 0.93:  18%|█▊        | 181/1000 [00:18&lt;01:21, 10.11it/s]loss 0.22 accuracy 0.93:  18%|█▊        | 183/1000 [00:18&lt;01:20, 10.12it/s]loss 0.23 accuracy 0.94:  18%|█▊        | 183/1000 [00:18&lt;01:20, 10.12it/s]loss 0.30 accuracy 0.95:  18%|█▊        | 183/1000 [00:18&lt;01:20, 10.12it/s]loss 0.30 accuracy 0.95:  18%|█▊        | 185/1000 [00:18&lt;01:19, 10.22it/s]loss 0.21 accuracy 0.94:  18%|█▊        | 185/1000 [00:18&lt;01:19, 10.22it/s]loss 0.22 accuracy 0.93:  18%|█▊        | 185/1000 [00:18&lt;01:19, 10.22it/s]loss 0.22 accuracy 0.93:  19%|█▊        | 187/1000 [00:18&lt;01:23,  9.75it/s]loss 0.42 accuracy 0.91:  19%|█▊        | 187/1000 [00:18&lt;01:23,  9.75it/s]loss 0.42 accuracy 0.91:  19%|█▉        | 188/1000 [00:18&lt;01:23,  9.76it/s]loss 0.22 accuracy 0.95:  19%|█▉        | 188/1000 [00:18&lt;01:23,  9.76it/s]loss 0.22 accuracy 0.91:  19%|█▉        | 188/1000 [00:19&lt;01:23,  9.76it/s]loss 0.22 accuracy 0.91:  19%|█▉        | 190/1000 [00:19&lt;01:21,  9.95it/s]loss 0.26 accuracy 0.92:  19%|█▉        | 190/1000 [00:19&lt;01:21,  9.95it/s]loss 0.26 accuracy 0.92:  19%|█▉        | 191/1000 [00:19&lt;01:21,  9.91it/s]loss 0.16 accuracy 0.95:  19%|█▉        | 191/1000 [00:19&lt;01:21,  9.91it/s]loss 0.16 accuracy 0.95:  19%|█▉        | 192/1000 [00:19&lt;01:24,  9.61it/s]loss 0.13 accuracy 0.98:  19%|█▉        | 192/1000 [00:19&lt;01:24,  9.61it/s]loss 0.22 accuracy 0.94:  19%|█▉        | 192/1000 [00:19&lt;01:24,  9.61it/s]loss 0.22 accuracy 0.94:  19%|█▉        | 194/1000 [00:19&lt;01:22,  9.74it/s]loss 0.15 accuracy 0.96:  19%|█▉        | 194/1000 [00:19&lt;01:22,  9.74it/s]loss 0.15 accuracy 0.96:  20%|█▉        | 195/1000 [00:19&lt;01:22,  9.76it/s]loss 0.18 accuracy 0.95:  20%|█▉        | 195/1000 [00:19&lt;01:22,  9.76it/s]loss 0.14 accuracy 0.97:  20%|█▉        | 195/1000 [00:19&lt;01:22,  9.76it/s]loss 0.14 accuracy 0.97:  20%|█▉        | 197/1000 [00:19&lt;01:21,  9.82it/s]loss 0.28 accuracy 0.91:  20%|█▉        | 197/1000 [00:19&lt;01:21,  9.82it/s]loss 0.28 accuracy 0.91:  20%|█▉        | 198/1000 [00:19&lt;01:21,  9.83it/s]loss 0.20 accuracy 0.95:  20%|█▉        | 198/1000 [00:19&lt;01:21,  9.83it/s]loss 0.20 accuracy 0.95:  20%|█▉        | 199/1000 [00:19&lt;01:21,  9.87it/s]loss 0.43 accuracy 0.85:  20%|█▉        | 199/1000 [00:20&lt;01:21,  9.87it/s]loss 0.43 accuracy 0.85:  20%|██        | 200/1000 [00:20&lt;01:21,  9.87it/s]loss 0.24 accuracy 0.94:  20%|██        | 200/1000 [00:20&lt;01:21,  9.87it/s]loss 0.24 accuracy 0.94:  20%|██        | 201/1000 [00:20&lt;01:20,  9.88it/s]loss 0.37 accuracy 0.91:  20%|██        | 201/1000 [00:20&lt;01:20,  9.88it/s]loss 0.26 accuracy 0.92:  20%|██        | 201/1000 [00:20&lt;01:20,  9.88it/s]loss 0.26 accuracy 0.92:  20%|██        | 203/1000 [00:20&lt;01:19, 10.05it/s]loss 0.23 accuracy 0.92:  20%|██        | 203/1000 [00:20&lt;01:19, 10.05it/s]loss 0.42 accuracy 0.84:  20%|██        | 203/1000 [00:20&lt;01:19, 10.05it/s]loss 0.42 accuracy 0.84:  20%|██        | 205/1000 [00:20&lt;01:18, 10.15it/s]loss 0.27 accuracy 0.91:  20%|██        | 205/1000 [00:20&lt;01:18, 10.15it/s]loss 0.27 accuracy 0.95:  20%|██        | 205/1000 [00:20&lt;01:18, 10.15it/s]loss 0.27 accuracy 0.95:  21%|██        | 207/1000 [00:20&lt;01:18, 10.10it/s]loss 0.26 accuracy 0.91:  21%|██        | 207/1000 [00:20&lt;01:18, 10.10it/s]loss 0.20 accuracy 0.93:  21%|██        | 207/1000 [00:20&lt;01:18, 10.10it/s]loss 0.20 accuracy 0.93:  21%|██        | 209/1000 [00:20&lt;01:17, 10.21it/s]loss 0.15 accuracy 0.98:  21%|██        | 209/1000 [00:21&lt;01:17, 10.21it/s]loss 0.30 accuracy 0.92:  21%|██        | 209/1000 [00:21&lt;01:17, 10.21it/s]loss 0.30 accuracy 0.92:  21%|██        | 211/1000 [00:21&lt;01:16, 10.27it/s]loss 0.24 accuracy 0.94:  21%|██        | 211/1000 [00:21&lt;01:16, 10.27it/s]loss 0.26 accuracy 0.93:  21%|██        | 211/1000 [00:21&lt;01:16, 10.27it/s]loss 0.26 accuracy 0.93:  21%|██▏       | 213/1000 [00:21&lt;01:16, 10.32it/s]loss 0.29 accuracy 0.92:  21%|██▏       | 213/1000 [00:21&lt;01:16, 10.32it/s]loss 0.20 accuracy 0.95:  21%|██▏       | 213/1000 [00:21&lt;01:16, 10.32it/s]loss 0.20 accuracy 0.95:  22%|██▏       | 215/1000 [00:21&lt;01:14, 10.53it/s]loss 0.25 accuracy 0.91:  22%|██▏       | 215/1000 [00:21&lt;01:14, 10.53it/s]loss 0.22 accuracy 0.95:  22%|██▏       | 215/1000 [00:21&lt;01:14, 10.53it/s]loss 0.22 accuracy 0.95:  22%|██▏       | 217/1000 [00:21&lt;01:14, 10.52it/s]loss 0.20 accuracy 0.95:  22%|██▏       | 217/1000 [00:21&lt;01:14, 10.52it/s]loss 0.17 accuracy 0.95:  22%|██▏       | 217/1000 [00:21&lt;01:14, 10.52it/s]loss 0.17 accuracy 0.95:  22%|██▏       | 219/1000 [00:21&lt;01:14, 10.46it/s]loss 0.29 accuracy 0.90:  22%|██▏       | 219/1000 [00:21&lt;01:14, 10.46it/s]loss 0.20 accuracy 0.95:  22%|██▏       | 219/1000 [00:22&lt;01:14, 10.46it/s]loss 0.20 accuracy 0.95:  22%|██▏       | 221/1000 [00:22&lt;01:14, 10.40it/s]loss 0.20 accuracy 0.95:  22%|██▏       | 221/1000 [00:22&lt;01:14, 10.40it/s]loss 0.30 accuracy 0.93:  22%|██▏       | 221/1000 [00:22&lt;01:14, 10.40it/s]loss 0.30 accuracy 0.93:  22%|██▏       | 223/1000 [00:22&lt;01:14, 10.36it/s]loss 0.20 accuracy 0.96:  22%|██▏       | 223/1000 [00:22&lt;01:14, 10.36it/s]loss 0.19 accuracy 0.95:  22%|██▏       | 223/1000 [00:22&lt;01:14, 10.36it/s]loss 0.19 accuracy 0.95:  22%|██▎       | 225/1000 [00:22&lt;01:15, 10.31it/s]loss 0.14 accuracy 0.96:  22%|██▎       | 225/1000 [00:22&lt;01:15, 10.31it/s]loss 0.16 accuracy 0.94:  22%|██▎       | 225/1000 [00:22&lt;01:15, 10.31it/s]loss 0.16 accuracy 0.94:  23%|██▎       | 227/1000 [00:22&lt;01:15, 10.20it/s]loss 0.24 accuracy 0.95:  23%|██▎       | 227/1000 [00:22&lt;01:15, 10.20it/s]loss 0.24 accuracy 0.90:  23%|██▎       | 227/1000 [00:22&lt;01:15, 10.20it/s]loss 0.24 accuracy 0.90:  23%|██▎       | 229/1000 [00:22&lt;01:15, 10.16it/s]loss 0.23 accuracy 0.94:  23%|██▎       | 229/1000 [00:22&lt;01:15, 10.16it/s]loss 0.30 accuracy 0.91:  23%|██▎       | 229/1000 [00:23&lt;01:15, 10.16it/s]loss 0.30 accuracy 0.91:  23%|██▎       | 231/1000 [00:23&lt;01:16, 10.02it/s]loss 0.17 accuracy 0.95:  23%|██▎       | 231/1000 [00:23&lt;01:16, 10.02it/s]loss 0.18 accuracy 0.96:  23%|██▎       | 231/1000 [00:23&lt;01:16, 10.02it/s]loss 0.18 accuracy 0.96:  23%|██▎       | 233/1000 [00:23&lt;01:16,  9.98it/s]loss 0.21 accuracy 0.96:  23%|██▎       | 233/1000 [00:23&lt;01:16,  9.98it/s]loss 0.21 accuracy 0.96:  23%|██▎       | 234/1000 [00:23&lt;01:16,  9.98it/s]loss 0.24 accuracy 0.94:  23%|██▎       | 234/1000 [00:23&lt;01:16,  9.98it/s]loss 0.22 accuracy 0.95:  23%|██▎       | 234/1000 [00:23&lt;01:16,  9.98it/s]loss 0.22 accuracy 0.95:  24%|██▎       | 236/1000 [00:23&lt;01:16,  9.94it/s]loss 0.16 accuracy 0.96:  24%|██▎       | 236/1000 [00:23&lt;01:16,  9.94it/s]loss 0.16 accuracy 0.96:  24%|██▎       | 237/1000 [00:23&lt;01:16,  9.94it/s]loss 0.27 accuracy 0.92:  24%|██▎       | 237/1000 [00:23&lt;01:16,  9.94it/s]loss 0.27 accuracy 0.92:  24%|██▍       | 238/1000 [00:23&lt;01:17,  9.88it/s]loss 0.23 accuracy 0.93:  24%|██▍       | 238/1000 [00:23&lt;01:17,  9.88it/s]loss 0.25 accuracy 0.92:  24%|██▍       | 238/1000 [00:24&lt;01:17,  9.88it/s]loss 0.25 accuracy 0.92:  24%|██▍       | 240/1000 [00:24&lt;01:17,  9.84it/s]loss 0.30 accuracy 0.91:  24%|██▍       | 240/1000 [00:24&lt;01:17,  9.84it/s]loss 0.20 accuracy 0.95:  24%|██▍       | 240/1000 [00:24&lt;01:17,  9.84it/s]loss 0.20 accuracy 0.95:  24%|██▍       | 242/1000 [00:24&lt;01:16,  9.93it/s]loss 0.18 accuracy 0.96:  24%|██▍       | 242/1000 [00:24&lt;01:16,  9.93it/s]loss 0.25 accuracy 0.92:  24%|██▍       | 242/1000 [00:24&lt;01:16,  9.93it/s]loss 0.25 accuracy 0.92:  24%|██▍       | 244/1000 [00:24&lt;01:15, 10.05it/s]loss 0.28 accuracy 0.91:  24%|██▍       | 244/1000 [00:24&lt;01:15, 10.05it/s]loss 0.18 accuracy 0.95:  24%|██▍       | 244/1000 [00:24&lt;01:15, 10.05it/s]loss 0.18 accuracy 0.95:  25%|██▍       | 246/1000 [00:24&lt;01:16,  9.82it/s]loss 0.32 accuracy 0.91:  25%|██▍       | 246/1000 [00:24&lt;01:16,  9.82it/s]loss 0.22 accuracy 0.95:  25%|██▍       | 246/1000 [00:24&lt;01:16,  9.82it/s]loss 0.22 accuracy 0.95:  25%|██▍       | 248/1000 [00:24&lt;01:15,  9.92it/s]loss 0.16 accuracy 0.97:  25%|██▍       | 248/1000 [00:24&lt;01:15,  9.92it/s]loss 0.19 accuracy 0.95:  25%|██▍       | 248/1000 [00:25&lt;01:15,  9.92it/s]loss 0.19 accuracy 0.95:  25%|██▌       | 250/1000 [00:25&lt;01:15,  9.98it/s]loss 0.16 accuracy 0.97:  25%|██▌       | 250/1000 [00:25&lt;01:15,  9.98it/s]loss 0.33 accuracy 0.91:  25%|██▌       | 250/1000 [00:25&lt;01:15,  9.98it/s]loss 0.33 accuracy 0.91:  25%|██▌       | 252/1000 [00:25&lt;01:14, 10.05it/s]loss 0.26 accuracy 0.96:  25%|██▌       | 252/1000 [00:25&lt;01:14, 10.05it/s]loss 0.25 accuracy 0.92:  25%|██▌       | 252/1000 [00:25&lt;01:14, 10.05it/s]loss 0.25 accuracy 0.92:  25%|██▌       | 254/1000 [00:25&lt;01:14, 10.01it/s]loss 0.17 accuracy 0.95:  25%|██▌       | 254/1000 [00:25&lt;01:14, 10.01it/s]loss 0.14 accuracy 0.97:  25%|██▌       | 254/1000 [00:25&lt;01:14, 10.01it/s]loss 0.14 accuracy 0.97:  26%|██▌       | 256/1000 [00:25&lt;01:14, 10.05it/s]loss 0.11 accuracy 0.97:  26%|██▌       | 256/1000 [00:25&lt;01:14, 10.05it/s]loss 0.23 accuracy 0.94:  26%|██▌       | 256/1000 [00:25&lt;01:14, 10.05it/s]loss 0.23 accuracy 0.94:  26%|██▌       | 258/1000 [00:25&lt;01:14, 10.01it/s]loss 0.17 accuracy 0.95:  26%|██▌       | 258/1000 [00:25&lt;01:14, 10.01it/s]loss 0.28 accuracy 0.90:  26%|██▌       | 258/1000 [00:25&lt;01:14, 10.01it/s]loss 0.28 accuracy 0.90:  26%|██▌       | 260/1000 [00:26&lt;01:14,  9.99it/s]loss 0.19 accuracy 0.95:  26%|██▌       | 260/1000 [00:26&lt;01:14,  9.99it/s]loss 0.18 accuracy 0.96:  26%|██▌       | 260/1000 [00:26&lt;01:14,  9.99it/s]loss 0.18 accuracy 0.96:  26%|██▌       | 262/1000 [00:26&lt;01:13, 10.00it/s]loss 0.23 accuracy 0.91:  26%|██▌       | 262/1000 [00:26&lt;01:13, 10.00it/s]loss 0.37 accuracy 0.89:  26%|██▌       | 262/1000 [00:26&lt;01:13, 10.00it/s]loss 0.37 accuracy 0.89:  26%|██▋       | 264/1000 [00:26&lt;01:14,  9.85it/s]loss 0.25 accuracy 0.93:  26%|██▋       | 264/1000 [00:26&lt;01:14,  9.85it/s]loss 0.25 accuracy 0.93:  26%|██▋       | 265/1000 [00:26&lt;01:14,  9.80it/s]loss 0.32 accuracy 0.90:  26%|██▋       | 265/1000 [00:26&lt;01:14,  9.80it/s]loss 0.18 accuracy 0.95:  26%|██▋       | 265/1000 [00:26&lt;01:14,  9.80it/s]loss 0.18 accuracy 0.95:  27%|██▋       | 267/1000 [00:26&lt;01:14,  9.81it/s]loss 0.21 accuracy 0.94:  27%|██▋       | 267/1000 [00:26&lt;01:14,  9.81it/s]loss 0.21 accuracy 0.94:  27%|██▋       | 268/1000 [00:26&lt;01:14,  9.81it/s]loss 0.20 accuracy 0.95:  27%|██▋       | 268/1000 [00:26&lt;01:14,  9.81it/s]loss 0.20 accuracy 0.95:  27%|██▋       | 269/1000 [00:26&lt;01:14,  9.84it/s]loss 0.24 accuracy 0.92:  27%|██▋       | 269/1000 [00:27&lt;01:14,  9.84it/s]loss 0.23 accuracy 0.93:  27%|██▋       | 269/1000 [00:27&lt;01:14,  9.84it/s]loss 0.23 accuracy 0.93:  27%|██▋       | 271/1000 [00:27&lt;01:13,  9.86it/s]loss 0.22 accuracy 0.94:  27%|██▋       | 271/1000 [00:27&lt;01:13,  9.86it/s]loss 0.22 accuracy 0.94:  27%|██▋       | 272/1000 [00:27&lt;01:13,  9.88it/s]loss 0.16 accuracy 0.98:  27%|██▋       | 272/1000 [00:27&lt;01:13,  9.88it/s]loss 0.16 accuracy 0.98:  27%|██▋       | 273/1000 [00:27&lt;01:13,  9.90it/s]loss 0.22 accuracy 0.91:  27%|██▋       | 273/1000 [00:27&lt;01:13,  9.90it/s]loss 0.19 accuracy 0.94:  27%|██▋       | 273/1000 [00:27&lt;01:13,  9.90it/s]loss 0.19 accuracy 0.94:  28%|██▊       | 275/1000 [00:27&lt;01:12, 10.01it/s]loss 0.14 accuracy 0.95:  28%|██▊       | 275/1000 [00:27&lt;01:12, 10.01it/s]loss 0.27 accuracy 0.91:  28%|██▊       | 275/1000 [00:27&lt;01:12, 10.01it/s]loss 0.27 accuracy 0.91:  28%|██▊       | 277/1000 [00:27&lt;01:10, 10.23it/s]loss 0.19 accuracy 0.95:  28%|██▊       | 277/1000 [00:27&lt;01:10, 10.23it/s]loss 0.21 accuracy 0.93:  28%|██▊       | 277/1000 [00:27&lt;01:10, 10.23it/s]loss 0.21 accuracy 0.93:  28%|██▊       | 279/1000 [00:27&lt;01:11, 10.09it/s]loss 0.20 accuracy 0.95:  28%|██▊       | 279/1000 [00:28&lt;01:11, 10.09it/s]loss 0.14 accuracy 0.95:  28%|██▊       | 279/1000 [00:28&lt;01:11, 10.09it/s]loss 0.14 accuracy 0.95:  28%|██▊       | 281/1000 [00:28&lt;01:11, 10.00it/s]loss 0.16 accuracy 0.97:  28%|██▊       | 281/1000 [00:28&lt;01:11, 10.00it/s]loss 0.25 accuracy 0.92:  28%|██▊       | 281/1000 [00:28&lt;01:11, 10.00it/s]loss 0.25 accuracy 0.92:  28%|██▊       | 283/1000 [00:28&lt;01:11, 10.03it/s]loss 0.16 accuracy 0.95:  28%|██▊       | 283/1000 [00:28&lt;01:11, 10.03it/s]loss 0.20 accuracy 0.95:  28%|██▊       | 283/1000 [00:28&lt;01:11, 10.03it/s]loss 0.20 accuracy 0.95:  28%|██▊       | 285/1000 [00:28&lt;01:10, 10.12it/s]loss 0.17 accuracy 0.97:  28%|██▊       | 285/1000 [00:28&lt;01:10, 10.12it/s]loss 0.12 accuracy 0.98:  28%|██▊       | 285/1000 [00:28&lt;01:10, 10.12it/s]loss 0.12 accuracy 0.98:  29%|██▊       | 287/1000 [00:28&lt;01:11,  9.98it/s]loss 0.23 accuracy 0.95:  29%|██▊       | 287/1000 [00:28&lt;01:11,  9.98it/s]loss 0.21 accuracy 0.95:  29%|██▊       | 287/1000 [00:28&lt;01:11,  9.98it/s]loss 0.21 accuracy 0.95:  29%|██▉       | 289/1000 [00:28&lt;01:11,  9.94it/s]loss 0.26 accuracy 0.91:  29%|██▉       | 289/1000 [00:29&lt;01:11,  9.94it/s]loss 0.35 accuracy 0.92:  29%|██▉       | 289/1000 [00:29&lt;01:11,  9.94it/s]loss 0.35 accuracy 0.92:  29%|██▉       | 291/1000 [00:29&lt;01:10, 10.00it/s]loss 0.34 accuracy 0.90:  29%|██▉       | 291/1000 [00:29&lt;01:10, 10.00it/s]loss 0.18 accuracy 0.95:  29%|██▉       | 291/1000 [00:29&lt;01:10, 10.00it/s]loss 0.18 accuracy 0.95:  29%|██▉       | 293/1000 [00:29&lt;01:11,  9.93it/s]loss 0.15 accuracy 0.96:  29%|██▉       | 293/1000 [00:29&lt;01:11,  9.93it/s]loss 0.17 accuracy 0.95:  29%|██▉       | 293/1000 [00:29&lt;01:11,  9.93it/s]loss 0.17 accuracy 0.95:  30%|██▉       | 295/1000 [00:29&lt;01:09, 10.08it/s]loss 0.18 accuracy 0.95:  30%|██▉       | 295/1000 [00:29&lt;01:09, 10.08it/s]loss 0.23 accuracy 0.94:  30%|██▉       | 295/1000 [00:29&lt;01:09, 10.08it/s]loss 0.23 accuracy 0.94:  30%|██▉       | 297/1000 [00:29&lt;01:10, 10.04it/s]loss 0.10 accuracy 0.98:  30%|██▉       | 297/1000 [00:29&lt;01:10, 10.04it/s]loss 0.21 accuracy 0.96:  30%|██▉       | 297/1000 [00:29&lt;01:10, 10.04it/s]loss 0.21 accuracy 0.96:  30%|██▉       | 299/1000 [00:29&lt;01:08, 10.23it/s]loss 0.16 accuracy 0.97:  30%|██▉       | 299/1000 [00:29&lt;01:08, 10.23it/s]loss 0.24 accuracy 0.92:  30%|██▉       | 299/1000 [00:30&lt;01:08, 10.23it/s]loss 0.24 accuracy 0.92:  30%|███       | 301/1000 [00:30&lt;01:08, 10.17it/s]loss 0.19 accuracy 0.95:  30%|███       | 301/1000 [00:30&lt;01:08, 10.17it/s]loss 0.13 accuracy 0.96:  30%|███       | 301/1000 [00:30&lt;01:08, 10.17it/s]loss 0.13 accuracy 0.96:  30%|███       | 303/1000 [00:30&lt;01:12,  9.65it/s]loss 0.20 accuracy 0.94:  30%|███       | 303/1000 [00:30&lt;01:12,  9.65it/s]loss 0.17 accuracy 0.95:  30%|███       | 303/1000 [00:30&lt;01:12,  9.65it/s]loss 0.17 accuracy 0.95:  30%|███       | 305/1000 [00:30&lt;01:10,  9.83it/s]loss 0.26 accuracy 0.93:  30%|███       | 305/1000 [00:30&lt;01:10,  9.83it/s]loss 0.26 accuracy 0.93:  31%|███       | 306/1000 [00:30&lt;01:10,  9.81it/s]loss 0.18 accuracy 0.95:  31%|███       | 306/1000 [00:30&lt;01:10,  9.81it/s]loss 0.18 accuracy 0.95:  31%|███       | 307/1000 [00:30&lt;01:10,  9.83it/s]loss 0.24 accuracy 0.93:  31%|███       | 307/1000 [00:30&lt;01:10,  9.83it/s]loss 0.24 accuracy 0.93:  31%|███       | 308/1000 [00:30&lt;01:10,  9.79it/s]loss 0.19 accuracy 0.95:  31%|███       | 308/1000 [00:30&lt;01:10,  9.79it/s]loss 0.19 accuracy 0.95:  31%|███       | 309/1000 [00:30&lt;01:10,  9.81it/s]loss 0.21 accuracy 0.95:  31%|███       | 309/1000 [00:31&lt;01:10,  9.81it/s]loss 0.21 accuracy 0.95:  31%|███       | 310/1000 [00:31&lt;01:11,  9.68it/s]loss 0.33 accuracy 0.91:  31%|███       | 310/1000 [00:31&lt;01:11,  9.68it/s]loss 0.33 accuracy 0.91:  31%|███       | 311/1000 [00:31&lt;01:11,  9.68it/s]loss 0.16 accuracy 0.95:  31%|███       | 311/1000 [00:31&lt;01:11,  9.68it/s]loss 0.16 accuracy 0.95:  31%|███       | 312/1000 [00:31&lt;01:10,  9.73it/s]loss 0.13 accuracy 0.98:  31%|███       | 312/1000 [00:31&lt;01:10,  9.73it/s]loss 0.11 accuracy 0.96:  31%|███       | 312/1000 [00:31&lt;01:10,  9.73it/s]loss 0.11 accuracy 0.96:  31%|███▏      | 314/1000 [00:31&lt;01:08,  9.96it/s]loss 0.16 accuracy 0.96:  31%|███▏      | 314/1000 [00:31&lt;01:08,  9.96it/s]loss 0.16 accuracy 0.96:  32%|███▏      | 315/1000 [00:31&lt;01:09,  9.92it/s]loss 0.21 accuracy 0.94:  32%|███▏      | 315/1000 [00:31&lt;01:09,  9.92it/s]loss 0.21 accuracy 0.94:  32%|███▏      | 316/1000 [00:31&lt;01:12,  9.37it/s]loss 0.38 accuracy 0.89:  32%|███▏      | 316/1000 [00:31&lt;01:12,  9.37it/s]loss 0.38 accuracy 0.89:  32%|███▏      | 317/1000 [00:31&lt;01:12,  9.45it/s]loss 0.12 accuracy 0.96:  32%|███▏      | 317/1000 [00:31&lt;01:12,  9.45it/s]loss 0.17 accuracy 0.96:  32%|███▏      | 317/1000 [00:31&lt;01:12,  9.45it/s]loss 0.17 accuracy 0.96:  32%|███▏      | 319/1000 [00:31&lt;01:10,  9.66it/s]loss 0.17 accuracy 0.94:  32%|███▏      | 319/1000 [00:32&lt;01:10,  9.66it/s]loss 0.12 accuracy 0.97:  32%|███▏      | 319/1000 [00:32&lt;01:10,  9.66it/s]loss 0.12 accuracy 0.97:  32%|███▏      | 321/1000 [00:32&lt;01:09,  9.74it/s]loss 0.20 accuracy 0.95:  32%|███▏      | 321/1000 [00:32&lt;01:09,  9.74it/s]loss 0.20 accuracy 0.95:  32%|███▏      | 322/1000 [00:32&lt;01:09,  9.70it/s]loss 0.23 accuracy 0.94:  32%|███▏      | 322/1000 [00:32&lt;01:09,  9.70it/s]loss 0.38 accuracy 0.89:  32%|███▏      | 322/1000 [00:32&lt;01:09,  9.70it/s]loss 0.38 accuracy 0.89:  32%|███▏      | 324/1000 [00:32&lt;01:07,  9.97it/s]loss 0.29 accuracy 0.91:  32%|███▏      | 324/1000 [00:32&lt;01:07,  9.97it/s]loss 0.18 accuracy 0.95:  32%|███▏      | 324/1000 [00:32&lt;01:07,  9.97it/s]loss 0.18 accuracy 0.95:  33%|███▎      | 326/1000 [00:32&lt;01:05, 10.28it/s]loss 0.25 accuracy 0.95:  33%|███▎      | 326/1000 [00:32&lt;01:05, 10.28it/s]loss 0.32 accuracy 0.89:  33%|███▎      | 326/1000 [00:32&lt;01:05, 10.28it/s]loss 0.32 accuracy 0.89:  33%|███▎      | 328/1000 [00:32&lt;01:06, 10.11it/s]loss 0.32 accuracy 0.93:  33%|███▎      | 328/1000 [00:32&lt;01:06, 10.11it/s]loss 0.19 accuracy 0.95:  33%|███▎      | 328/1000 [00:33&lt;01:06, 10.11it/s]loss 0.19 accuracy 0.95:  33%|███▎      | 330/1000 [00:33&lt;01:06, 10.12it/s]loss 0.18 accuracy 0.95:  33%|███▎      | 330/1000 [00:33&lt;01:06, 10.12it/s]loss 0.19 accuracy 0.96:  33%|███▎      | 330/1000 [00:33&lt;01:06, 10.12it/s]loss 0.19 accuracy 0.96:  33%|███▎      | 332/1000 [00:33&lt;01:06, 10.07it/s]loss 0.27 accuracy 0.91:  33%|███▎      | 332/1000 [00:33&lt;01:06, 10.07it/s]loss 0.32 accuracy 0.91:  33%|███▎      | 332/1000 [00:33&lt;01:06, 10.07it/s]loss 0.32 accuracy 0.91:  33%|███▎      | 334/1000 [00:33&lt;01:06, 10.00it/s]loss 0.16 accuracy 0.97:  33%|███▎      | 334/1000 [00:33&lt;01:06, 10.00it/s]loss 0.16 accuracy 0.97:  34%|███▎      | 335/1000 [00:33&lt;01:06,  9.99it/s]loss 0.19 accuracy 0.95:  34%|███▎      | 335/1000 [00:33&lt;01:06,  9.99it/s]loss 0.16 accuracy 0.96:  34%|███▎      | 335/1000 [00:33&lt;01:06,  9.99it/s]loss 0.16 accuracy 0.96:  34%|███▎      | 337/1000 [00:33&lt;01:05, 10.05it/s]loss 0.26 accuracy 0.92:  34%|███▎      | 337/1000 [00:33&lt;01:05, 10.05it/s]loss 0.18 accuracy 0.94:  34%|███▎      | 337/1000 [00:33&lt;01:05, 10.05it/s]loss 0.18 accuracy 0.94:  34%|███▍      | 339/1000 [00:33&lt;01:05, 10.03it/s]loss 0.32 accuracy 0.93:  34%|███▍      | 339/1000 [00:34&lt;01:05, 10.03it/s]loss 0.21 accuracy 0.93:  34%|███▍      | 339/1000 [00:34&lt;01:05, 10.03it/s]loss 0.21 accuracy 0.93:  34%|███▍      | 341/1000 [00:34&lt;01:05, 10.04it/s]loss 0.22 accuracy 0.95:  34%|███▍      | 341/1000 [00:34&lt;01:05, 10.04it/s]loss 0.14 accuracy 0.95:  34%|███▍      | 341/1000 [00:34&lt;01:05, 10.04it/s]loss 0.14 accuracy 0.95:  34%|███▍      | 343/1000 [00:34&lt;01:05, 10.03it/s]loss 0.17 accuracy 0.95:  34%|███▍      | 343/1000 [00:34&lt;01:05, 10.03it/s]loss 0.18 accuracy 0.95:  34%|███▍      | 343/1000 [00:34&lt;01:05, 10.03it/s]loss 0.18 accuracy 0.95:  34%|███▍      | 345/1000 [00:34&lt;01:05, 10.01it/s]loss 0.24 accuracy 0.93:  34%|███▍      | 345/1000 [00:34&lt;01:05, 10.01it/s]loss 0.19 accuracy 0.95:  34%|███▍      | 345/1000 [00:34&lt;01:05, 10.01it/s]loss 0.19 accuracy 0.95:  35%|███▍      | 347/1000 [00:34&lt;01:05,  9.96it/s]loss 0.14 accuracy 0.95:  35%|███▍      | 347/1000 [00:34&lt;01:05,  9.96it/s]loss 0.14 accuracy 0.95:  35%|███▍      | 348/1000 [00:34&lt;01:05,  9.95it/s]loss 0.18 accuracy 0.94:  35%|███▍      | 348/1000 [00:34&lt;01:05,  9.95it/s]loss 0.18 accuracy 0.94:  35%|███▍      | 349/1000 [00:34&lt;01:05,  9.95it/s]loss 0.14 accuracy 0.95:  35%|███▍      | 349/1000 [00:35&lt;01:05,  9.95it/s]loss 0.14 accuracy 0.95:  35%|███▌      | 350/1000 [00:35&lt;01:05,  9.90it/s]loss 0.28 accuracy 0.91:  35%|███▌      | 350/1000 [00:35&lt;01:05,  9.90it/s]loss 0.28 accuracy 0.91:  35%|███▌      | 351/1000 [00:35&lt;01:05,  9.92it/s]loss 0.14 accuracy 0.95:  35%|███▌      | 351/1000 [00:35&lt;01:05,  9.92it/s]loss 0.12 accuracy 0.97:  35%|███▌      | 351/1000 [00:35&lt;01:05,  9.92it/s]loss 0.12 accuracy 0.97:  35%|███▌      | 353/1000 [00:35&lt;01:05,  9.94it/s]loss 0.15 accuracy 0.96:  35%|███▌      | 353/1000 [00:35&lt;01:05,  9.94it/s]loss 0.15 accuracy 0.96:  35%|███▌      | 354/1000 [00:35&lt;01:04,  9.95it/s]loss 0.28 accuracy 0.94:  35%|███▌      | 354/1000 [00:35&lt;01:04,  9.95it/s]loss 0.28 accuracy 0.94:  36%|███▌      | 355/1000 [00:35&lt;01:04,  9.94it/s]loss 0.19 accuracy 0.95:  36%|███▌      | 355/1000 [00:35&lt;01:04,  9.94it/s]loss 0.19 accuracy 0.95:  36%|███▌      | 356/1000 [00:35&lt;01:04,  9.94it/s]loss 0.18 accuracy 0.95:  36%|███▌      | 356/1000 [00:35&lt;01:04,  9.94it/s]loss 0.18 accuracy 0.95:  36%|███▌      | 357/1000 [00:35&lt;01:05,  9.87it/s]loss 0.24 accuracy 0.95:  36%|███▌      | 357/1000 [00:35&lt;01:05,  9.87it/s]loss 0.11 accuracy 0.97:  36%|███▌      | 357/1000 [00:35&lt;01:05,  9.87it/s]loss 0.11 accuracy 0.97:  36%|███▌      | 359/1000 [00:35&lt;01:04,  9.97it/s]loss 0.11 accuracy 0.96:  36%|███▌      | 359/1000 [00:36&lt;01:04,  9.97it/s]loss 0.17 accuracy 0.95:  36%|███▌      | 359/1000 [00:36&lt;01:04,  9.97it/s]loss 0.17 accuracy 0.95:  36%|███▌      | 361/1000 [00:36&lt;01:04,  9.98it/s]loss 0.27 accuracy 0.95:  36%|███▌      | 361/1000 [00:36&lt;01:04,  9.98it/s]loss 0.27 accuracy 0.95:  36%|███▌      | 362/1000 [00:36&lt;01:04,  9.95it/s]loss 0.16 accuracy 0.95:  36%|███▌      | 362/1000 [00:36&lt;01:04,  9.95it/s]loss 0.16 accuracy 0.97:  36%|███▌      | 362/1000 [00:36&lt;01:04,  9.95it/s]loss 0.16 accuracy 0.97:  36%|███▋      | 364/1000 [00:36&lt;01:03, 10.03it/s]loss 0.13 accuracy 0.95:  36%|███▋      | 364/1000 [00:36&lt;01:03, 10.03it/s]loss 0.13 accuracy 0.95:  36%|███▋      | 365/1000 [00:36&lt;01:03, 10.02it/s]loss 0.22 accuracy 0.95:  36%|███▋      | 365/1000 [00:36&lt;01:03, 10.02it/s]loss 0.13 accuracy 0.97:  36%|███▋      | 365/1000 [00:36&lt;01:03, 10.02it/s]loss 0.13 accuracy 0.97:  37%|███▋      | 367/1000 [00:36&lt;01:02, 10.09it/s]loss 0.20 accuracy 0.93:  37%|███▋      | 367/1000 [00:36&lt;01:02, 10.09it/s]loss 0.20 accuracy 0.94:  37%|███▋      | 367/1000 [00:36&lt;01:02, 10.09it/s]loss 0.20 accuracy 0.94:  37%|███▋      | 369/1000 [00:36&lt;01:03,  9.95it/s]loss 0.19 accuracy 0.95:  37%|███▋      | 369/1000 [00:37&lt;01:03,  9.95it/s]loss 0.23 accuracy 0.93:  37%|███▋      | 369/1000 [00:37&lt;01:03,  9.95it/s]loss 0.23 accuracy 0.93:  37%|███▋      | 371/1000 [00:37&lt;01:03,  9.92it/s]loss 0.13 accuracy 0.97:  37%|███▋      | 371/1000 [00:37&lt;01:03,  9.92it/s]loss 0.15 accuracy 0.97:  37%|███▋      | 371/1000 [00:37&lt;01:03,  9.92it/s]loss 0.15 accuracy 0.97:  37%|███▋      | 373/1000 [00:37&lt;01:02,  9.97it/s]loss 0.22 accuracy 0.95:  37%|███▋      | 373/1000 [00:37&lt;01:02,  9.97it/s]loss 0.14 accuracy 0.97:  37%|███▋      | 373/1000 [00:37&lt;01:02,  9.97it/s]loss 0.14 accuracy 0.97:  38%|███▊      | 375/1000 [00:37&lt;01:01, 10.19it/s]loss 0.24 accuracy 0.93:  38%|███▊      | 375/1000 [00:37&lt;01:01, 10.19it/s]loss 0.07 accuracy 0.99:  38%|███▊      | 375/1000 [00:37&lt;01:01, 10.19it/s]loss 0.07 accuracy 0.99:  38%|███▊      | 377/1000 [00:37&lt;01:01, 10.12it/s]loss 0.08 accuracy 0.98:  38%|███▊      | 377/1000 [00:37&lt;01:01, 10.12it/s]loss 0.09 accuracy 0.98:  38%|███▊      | 377/1000 [00:37&lt;01:01, 10.12it/s]loss 0.09 accuracy 0.98:  38%|███▊      | 379/1000 [00:37&lt;01:01, 10.14it/s]loss 0.17 accuracy 0.92:  38%|███▊      | 379/1000 [00:38&lt;01:01, 10.14it/s]loss 0.19 accuracy 0.92:  38%|███▊      | 379/1000 [00:38&lt;01:01, 10.14it/s]loss 0.19 accuracy 0.92:  38%|███▊      | 381/1000 [00:38&lt;01:01, 10.06it/s]loss 0.19 accuracy 0.95:  38%|███▊      | 381/1000 [00:38&lt;01:01, 10.06it/s]loss 0.25 accuracy 0.90:  38%|███▊      | 381/1000 [00:38&lt;01:01, 10.06it/s]loss 0.25 accuracy 0.90:  38%|███▊      | 383/1000 [00:38&lt;01:01, 10.04it/s]loss 0.29 accuracy 0.93:  38%|███▊      | 383/1000 [00:38&lt;01:01, 10.04it/s]loss 0.16 accuracy 0.96:  38%|███▊      | 383/1000 [00:38&lt;01:01, 10.04it/s]loss 0.16 accuracy 0.96:  38%|███▊      | 385/1000 [00:38&lt;01:00, 10.09it/s]loss 0.10 accuracy 0.98:  38%|███▊      | 385/1000 [00:38&lt;01:00, 10.09it/s]loss 0.27 accuracy 0.91:  38%|███▊      | 385/1000 [00:38&lt;01:00, 10.09it/s]loss 0.27 accuracy 0.91:  39%|███▊      | 387/1000 [00:38&lt;01:00, 10.06it/s]loss 0.21 accuracy 0.91:  39%|███▊      | 387/1000 [00:38&lt;01:00, 10.06it/s]loss 0.18 accuracy 0.96:  39%|███▊      | 387/1000 [00:38&lt;01:00, 10.06it/s]loss 0.18 accuracy 0.96:  39%|███▉      | 389/1000 [00:38&lt;01:00, 10.03it/s]loss 0.21 accuracy 0.91:  39%|███▉      | 389/1000 [00:39&lt;01:00, 10.03it/s]loss 0.17 accuracy 0.94:  39%|███▉      | 389/1000 [00:39&lt;01:00, 10.03it/s]loss 0.17 accuracy 0.94:  39%|███▉      | 391/1000 [00:39&lt;01:01,  9.98it/s]loss 0.22 accuracy 0.92:  39%|███▉      | 391/1000 [00:39&lt;01:01,  9.98it/s]loss 0.22 accuracy 0.92:  39%|███▉      | 392/1000 [00:39&lt;01:01,  9.95it/s]loss 0.29 accuracy 0.91:  39%|███▉      | 392/1000 [00:39&lt;01:01,  9.95it/s]loss 0.12 accuracy 0.96:  39%|███▉      | 392/1000 [00:39&lt;01:01,  9.95it/s]loss 0.12 accuracy 0.96:  39%|███▉      | 394/1000 [00:39&lt;01:01,  9.91it/s]loss 0.19 accuracy 0.95:  39%|███▉      | 394/1000 [00:39&lt;01:01,  9.91it/s]loss 0.21 accuracy 0.96:  39%|███▉      | 394/1000 [00:39&lt;01:01,  9.91it/s]loss 0.21 accuracy 0.96:  40%|███▉      | 396/1000 [00:39&lt;00:59, 10.07it/s]loss 0.18 accuracy 0.94:  40%|███▉      | 396/1000 [00:39&lt;00:59, 10.07it/s]loss 0.14 accuracy 0.96:  40%|███▉      | 396/1000 [00:39&lt;00:59, 10.07it/s]loss 0.14 accuracy 0.96:  40%|███▉      | 398/1000 [00:39&lt;00:59, 10.09it/s]loss 0.17 accuracy 0.97:  40%|███▉      | 398/1000 [00:39&lt;00:59, 10.09it/s]loss 0.12 accuracy 0.95:  40%|███▉      | 398/1000 [00:40&lt;00:59, 10.09it/s]loss 0.12 accuracy 0.95:  40%|████      | 400/1000 [00:40&lt;00:59, 10.03it/s]loss 0.23 accuracy 0.92:  40%|████      | 400/1000 [00:40&lt;00:59, 10.03it/s]loss 0.16 accuracy 0.96:  40%|████      | 400/1000 [00:40&lt;00:59, 10.03it/s]loss 0.16 accuracy 0.96:  40%|████      | 402/1000 [00:40&lt;01:00,  9.95it/s]loss 0.15 accuracy 0.96:  40%|████      | 402/1000 [00:40&lt;01:00,  9.95it/s]loss 0.15 accuracy 0.96:  40%|████      | 403/1000 [00:40&lt;01:00,  9.94it/s]loss 0.23 accuracy 0.94:  40%|████      | 403/1000 [00:40&lt;01:00,  9.94it/s]loss 0.15 accuracy 0.95:  40%|████      | 403/1000 [00:40&lt;01:00,  9.94it/s]loss 0.15 accuracy 0.95:  40%|████      | 405/1000 [00:40&lt;00:58, 10.11it/s]loss 0.08 accuracy 0.98:  40%|████      | 405/1000 [00:40&lt;00:58, 10.11it/s]loss 0.14 accuracy 0.95:  40%|████      | 405/1000 [00:40&lt;00:58, 10.11it/s]loss 0.14 accuracy 0.95:  41%|████      | 407/1000 [00:40&lt;00:57, 10.24it/s]loss 0.19 accuracy 0.95:  41%|████      | 407/1000 [00:40&lt;00:57, 10.24it/s]loss 0.14 accuracy 0.96:  41%|████      | 407/1000 [00:40&lt;00:57, 10.24it/s]loss 0.14 accuracy 0.96:  41%|████      | 409/1000 [00:40&lt;00:57, 10.26it/s]loss 0.26 accuracy 0.92:  41%|████      | 409/1000 [00:41&lt;00:57, 10.26it/s]loss 0.29 accuracy 0.92:  41%|████      | 409/1000 [00:41&lt;00:57, 10.26it/s]loss 0.29 accuracy 0.92:  41%|████      | 411/1000 [00:41&lt;00:57, 10.20it/s]loss 0.16 accuracy 0.96:  41%|████      | 411/1000 [00:41&lt;00:57, 10.20it/s]loss 0.17 accuracy 0.95:  41%|████      | 411/1000 [00:41&lt;00:57, 10.20it/s]loss 0.17 accuracy 0.95:  41%|████▏     | 413/1000 [00:41&lt;00:57, 10.17it/s]loss 0.24 accuracy 0.92:  41%|████▏     | 413/1000 [00:41&lt;00:57, 10.17it/s]loss 0.21 accuracy 0.96:  41%|████▏     | 413/1000 [00:41&lt;00:57, 10.17it/s]loss 0.21 accuracy 0.96:  42%|████▏     | 415/1000 [00:41&lt;00:57, 10.13it/s]loss 0.13 accuracy 0.97:  42%|████▏     | 415/1000 [00:41&lt;00:57, 10.13it/s]loss 0.19 accuracy 0.95:  42%|████▏     | 415/1000 [00:41&lt;00:57, 10.13it/s]loss 0.19 accuracy 0.95:  42%|████▏     | 417/1000 [00:41&lt;00:57, 10.15it/s]loss 0.11 accuracy 0.98:  42%|████▏     | 417/1000 [00:41&lt;00:57, 10.15it/s]loss 0.23 accuracy 0.92:  42%|████▏     | 417/1000 [00:41&lt;00:57, 10.15it/s]loss 0.23 accuracy 0.92:  42%|████▏     | 419/1000 [00:41&lt;00:57, 10.08it/s]loss 0.16 accuracy 0.95:  42%|████▏     | 419/1000 [00:42&lt;00:57, 10.08it/s]loss 0.17 accuracy 0.96:  42%|████▏     | 419/1000 [00:42&lt;00:57, 10.08it/s]loss 0.17 accuracy 0.96:  42%|████▏     | 421/1000 [00:42&lt;00:57, 10.15it/s]loss 0.16 accuracy 0.95:  42%|████▏     | 421/1000 [00:42&lt;00:57, 10.15it/s]loss 0.25 accuracy 0.94:  42%|████▏     | 421/1000 [00:42&lt;00:57, 10.15it/s]loss 0.25 accuracy 0.94:  42%|████▏     | 423/1000 [00:42&lt;00:56, 10.12it/s]loss 0.22 accuracy 0.95:  42%|████▏     | 423/1000 [00:42&lt;00:56, 10.12it/s]loss 0.19 accuracy 0.94:  42%|████▏     | 423/1000 [00:42&lt;00:56, 10.12it/s]loss 0.19 accuracy 0.94:  42%|████▎     | 425/1000 [00:42&lt;00:56, 10.13it/s]loss 0.18 accuracy 0.95:  42%|████▎     | 425/1000 [00:42&lt;00:56, 10.13it/s]loss 0.16 accuracy 0.93:  42%|████▎     | 425/1000 [00:42&lt;00:56, 10.13it/s]loss 0.16 accuracy 0.93:  43%|████▎     | 427/1000 [00:42&lt;00:56, 10.19it/s]loss 0.22 accuracy 0.95:  43%|████▎     | 427/1000 [00:42&lt;00:56, 10.19it/s]loss 0.16 accuracy 0.95:  43%|████▎     | 427/1000 [00:42&lt;00:56, 10.19it/s]loss 0.16 accuracy 0.95:  43%|████▎     | 429/1000 [00:42&lt;00:56, 10.13it/s]loss 0.16 accuracy 0.98:  43%|████▎     | 429/1000 [00:43&lt;00:56, 10.13it/s]loss 0.23 accuracy 0.93:  43%|████▎     | 429/1000 [00:43&lt;00:56, 10.13it/s]loss 0.23 accuracy 0.93:  43%|████▎     | 431/1000 [00:43&lt;00:55, 10.28it/s]loss 0.12 accuracy 0.95:  43%|████▎     | 431/1000 [00:43&lt;00:55, 10.28it/s]loss 0.21 accuracy 0.96:  43%|████▎     | 431/1000 [00:43&lt;00:55, 10.28it/s]loss 0.21 accuracy 0.96:  43%|████▎     | 433/1000 [00:43&lt;00:54, 10.37it/s]loss 0.15 accuracy 0.97:  43%|████▎     | 433/1000 [00:43&lt;00:54, 10.37it/s]loss 0.12 accuracy 0.97:  43%|████▎     | 433/1000 [00:43&lt;00:54, 10.37it/s]loss 0.12 accuracy 0.97:  44%|████▎     | 435/1000 [00:43&lt;00:54, 10.29it/s]loss 0.23 accuracy 0.94:  44%|████▎     | 435/1000 [00:43&lt;00:54, 10.29it/s]loss 0.18 accuracy 0.94:  44%|████▎     | 435/1000 [00:43&lt;00:54, 10.29it/s]loss 0.18 accuracy 0.94:  44%|████▎     | 437/1000 [00:43&lt;00:54, 10.30it/s]loss 0.18 accuracy 0.94:  44%|████▎     | 437/1000 [00:43&lt;00:54, 10.30it/s]loss 0.09 accuracy 0.98:  44%|████▎     | 437/1000 [00:43&lt;00:54, 10.30it/s]loss 0.09 accuracy 0.98:  44%|████▍     | 439/1000 [00:43&lt;00:54, 10.24it/s]loss 0.22 accuracy 0.95:  44%|████▍     | 439/1000 [00:43&lt;00:54, 10.24it/s]loss 0.11 accuracy 0.96:  44%|████▍     | 439/1000 [00:44&lt;00:54, 10.24it/s]loss 0.11 accuracy 0.96:  44%|████▍     | 441/1000 [00:44&lt;00:55, 10.06it/s]loss 0.15 accuracy 0.95:  44%|████▍     | 441/1000 [00:44&lt;00:55, 10.06it/s]loss 0.18 accuracy 0.96:  44%|████▍     | 441/1000 [00:44&lt;00:55, 10.06it/s]loss 0.18 accuracy 0.96:  44%|████▍     | 443/1000 [00:44&lt;00:55, 10.02it/s]loss 0.10 accuracy 0.97:  44%|████▍     | 443/1000 [00:44&lt;00:55, 10.02it/s]loss 0.15 accuracy 0.96:  44%|████▍     | 443/1000 [00:44&lt;00:55, 10.02it/s]loss 0.15 accuracy 0.96:  44%|████▍     | 445/1000 [00:44&lt;00:54, 10.13it/s]loss 0.23 accuracy 0.92:  44%|████▍     | 445/1000 [00:44&lt;00:54, 10.13it/s]loss 0.15 accuracy 0.95:  44%|████▍     | 445/1000 [00:44&lt;00:54, 10.13it/s]loss 0.15 accuracy 0.95:  45%|████▍     | 447/1000 [00:44&lt;00:54, 10.15it/s]loss 0.27 accuracy 0.91:  45%|████▍     | 447/1000 [00:44&lt;00:54, 10.15it/s]loss 0.14 accuracy 0.96:  45%|████▍     | 447/1000 [00:44&lt;00:54, 10.15it/s]loss 0.14 accuracy 0.96:  45%|████▍     | 449/1000 [00:44&lt;00:53, 10.23it/s]loss 0.22 accuracy 0.93:  45%|████▍     | 449/1000 [00:44&lt;00:53, 10.23it/s]loss 0.22 accuracy 0.95:  45%|████▍     | 449/1000 [00:45&lt;00:53, 10.23it/s]loss 0.22 accuracy 0.95:  45%|████▌     | 451/1000 [00:45&lt;00:53, 10.26it/s]loss 0.15 accuracy 0.96:  45%|████▌     | 451/1000 [00:45&lt;00:53, 10.26it/s]loss 0.20 accuracy 0.95:  45%|████▌     | 451/1000 [00:45&lt;00:53, 10.26it/s]loss 0.20 accuracy 0.95:  45%|████▌     | 453/1000 [00:45&lt;00:54, 10.12it/s]loss 0.12 accuracy 0.97:  45%|████▌     | 453/1000 [00:45&lt;00:54, 10.12it/s]loss 0.14 accuracy 0.97:  45%|████▌     | 453/1000 [00:45&lt;00:54, 10.12it/s]loss 0.14 accuracy 0.97:  46%|████▌     | 455/1000 [00:45&lt;00:53, 10.17it/s]loss 0.15 accuracy 0.96:  46%|████▌     | 455/1000 [00:45&lt;00:53, 10.17it/s]loss 0.28 accuracy 0.91:  46%|████▌     | 455/1000 [00:45&lt;00:53, 10.17it/s]loss 0.28 accuracy 0.91:  46%|████▌     | 457/1000 [00:45&lt;00:58,  9.23it/s]loss 0.17 accuracy 0.95:  46%|████▌     | 457/1000 [00:45&lt;00:58,  9.23it/s]loss 0.17 accuracy 0.96:  46%|████▌     | 457/1000 [00:45&lt;00:58,  9.23it/s]loss 0.17 accuracy 0.96:  46%|████▌     | 459/1000 [00:45&lt;00:56,  9.56it/s]loss 0.17 accuracy 0.95:  46%|████▌     | 459/1000 [00:46&lt;00:56,  9.56it/s]loss 0.13 accuracy 0.97:  46%|████▌     | 459/1000 [00:46&lt;00:56,  9.56it/s]loss 0.13 accuracy 0.97:  46%|████▌     | 461/1000 [00:46&lt;00:55,  9.77it/s]loss 0.25 accuracy 0.94:  46%|████▌     | 461/1000 [00:46&lt;00:55,  9.77it/s]loss 0.16 accuracy 0.95:  46%|████▌     | 461/1000 [00:46&lt;00:55,  9.77it/s]loss 0.16 accuracy 0.95:  46%|████▋     | 463/1000 [00:46&lt;00:54,  9.82it/s]loss 0.16 accuracy 0.96:  46%|████▋     | 463/1000 [00:46&lt;00:54,  9.82it/s]loss 0.22 accuracy 0.94:  46%|████▋     | 463/1000 [00:46&lt;00:54,  9.82it/s]loss 0.22 accuracy 0.94:  46%|████▋     | 465/1000 [00:46&lt;00:54,  9.90it/s]loss 0.12 accuracy 0.95:  46%|████▋     | 465/1000 [00:46&lt;00:54,  9.90it/s]loss 0.17 accuracy 0.96:  46%|████▋     | 465/1000 [00:46&lt;00:54,  9.90it/s]loss 0.17 accuracy 0.96:  47%|████▋     | 467/1000 [00:46&lt;00:53, 10.01it/s]loss 0.14 accuracy 0.96:  47%|████▋     | 467/1000 [00:46&lt;00:53, 10.01it/s]loss 0.19 accuracy 0.94:  47%|████▋     | 467/1000 [00:46&lt;00:53, 10.01it/s]loss 0.19 accuracy 0.94:  47%|████▋     | 469/1000 [00:46&lt;00:52, 10.02it/s]loss 0.18 accuracy 0.95:  47%|████▋     | 469/1000 [00:46&lt;00:52, 10.02it/s]loss 0.18 accuracy 0.96:  47%|████▋     | 469/1000 [00:47&lt;00:52, 10.02it/s]loss 0.18 accuracy 0.96:  47%|████▋     | 471/1000 [00:47&lt;00:53,  9.97it/s]loss 0.14 accuracy 0.95:  47%|████▋     | 471/1000 [00:47&lt;00:53,  9.97it/s]loss 0.17 accuracy 0.96:  47%|████▋     | 471/1000 [00:47&lt;00:53,  9.97it/s]loss 0.17 accuracy 0.96:  47%|████▋     | 473/1000 [00:47&lt;00:54,  9.70it/s]loss 0.15 accuracy 0.95:  47%|████▋     | 473/1000 [00:47&lt;00:54,  9.70it/s]loss 0.15 accuracy 0.95:  47%|████▋     | 474/1000 [00:47&lt;00:56,  9.38it/s]loss 0.15 accuracy 0.95:  47%|████▋     | 474/1000 [00:47&lt;00:56,  9.38it/s]loss 0.18 accuracy 0.96:  47%|████▋     | 474/1000 [00:47&lt;00:56,  9.38it/s]loss 0.18 accuracy 0.96:  48%|████▊     | 476/1000 [00:47&lt;00:54,  9.64it/s]loss 0.12 accuracy 0.96:  48%|████▊     | 476/1000 [00:47&lt;00:54,  9.64it/s]loss 0.12 accuracy 0.96:  48%|████▊     | 477/1000 [00:47&lt;00:53,  9.69it/s]loss 0.13 accuracy 0.96:  48%|████▊     | 477/1000 [00:47&lt;00:53,  9.69it/s]loss 0.13 accuracy 0.96:  48%|████▊     | 478/1000 [00:47&lt;00:53,  9.73it/s]loss 0.09 accuracy 0.99:  48%|████▊     | 478/1000 [00:47&lt;00:53,  9.73it/s]loss 0.13 accuracy 0.95:  48%|████▊     | 478/1000 [00:48&lt;00:53,  9.73it/s]loss 0.13 accuracy 0.95:  48%|████▊     | 480/1000 [00:48&lt;00:52,  9.90it/s]loss 0.14 accuracy 0.97:  48%|████▊     | 480/1000 [00:48&lt;00:52,  9.90it/s]loss 0.09 accuracy 0.98:  48%|████▊     | 480/1000 [00:48&lt;00:52,  9.90it/s]loss 0.09 accuracy 0.98:  48%|████▊     | 482/1000 [00:48&lt;00:51,  9.96it/s]loss 0.21 accuracy 0.95:  48%|████▊     | 482/1000 [00:48&lt;00:51,  9.96it/s]loss 0.21 accuracy 0.95:  48%|████▊     | 483/1000 [00:48&lt;00:51,  9.97it/s]loss 0.13 accuracy 0.97:  48%|████▊     | 483/1000 [00:48&lt;00:51,  9.97it/s]loss 0.13 accuracy 0.97:  48%|████▊     | 484/1000 [00:48&lt;00:51,  9.94it/s]loss 0.14 accuracy 0.95:  48%|████▊     | 484/1000 [00:48&lt;00:51,  9.94it/s]loss 0.20 accuracy 0.94:  48%|████▊     | 484/1000 [00:48&lt;00:51,  9.94it/s]loss 0.20 accuracy 0.94:  49%|████▊     | 486/1000 [00:48&lt;00:50, 10.15it/s]loss 0.13 accuracy 0.96:  49%|████▊     | 486/1000 [00:48&lt;00:50, 10.15it/s]loss 0.12 accuracy 0.96:  49%|████▊     | 486/1000 [00:48&lt;00:50, 10.15it/s]loss 0.12 accuracy 0.96:  49%|████▉     | 488/1000 [00:48&lt;00:50, 10.04it/s]loss 0.16 accuracy 0.95:  49%|████▉     | 488/1000 [00:48&lt;00:50, 10.04it/s]loss 0.21 accuracy 0.94:  49%|████▉     | 488/1000 [00:49&lt;00:50, 10.04it/s]loss 0.21 accuracy 0.94:  49%|████▉     | 490/1000 [00:49&lt;00:50, 10.12it/s]loss 0.08 accuracy 0.98:  49%|████▉     | 490/1000 [00:49&lt;00:50, 10.12it/s]loss 0.10 accuracy 0.97:  49%|████▉     | 490/1000 [00:49&lt;00:50, 10.12it/s]loss 0.10 accuracy 0.97:  49%|████▉     | 492/1000 [00:49&lt;00:50, 10.09it/s]loss 0.18 accuracy 0.95:  49%|████▉     | 492/1000 [00:49&lt;00:50, 10.09it/s]loss 0.18 accuracy 0.95:  49%|████▉     | 492/1000 [00:49&lt;00:50, 10.09it/s]loss 0.18 accuracy 0.95:  49%|████▉     | 494/1000 [00:49&lt;00:50, 10.04it/s]loss 0.17 accuracy 0.97:  49%|████▉     | 494/1000 [00:49&lt;00:50, 10.04it/s]loss 0.14 accuracy 0.95:  49%|████▉     | 494/1000 [00:49&lt;00:50, 10.04it/s]loss 0.14 accuracy 0.95:  50%|████▉     | 496/1000 [00:49&lt;00:50, 10.01it/s]loss 0.12 accuracy 0.95:  50%|████▉     | 496/1000 [00:49&lt;00:50, 10.01it/s]loss 0.24 accuracy 0.95:  50%|████▉     | 496/1000 [00:49&lt;00:50, 10.01it/s]loss 0.24 accuracy 0.95:  50%|████▉     | 498/1000 [00:49&lt;00:50,  9.96it/s]loss 0.10 accuracy 0.98:  50%|████▉     | 498/1000 [00:49&lt;00:50,  9.96it/s]loss 0.13 accuracy 0.97:  50%|████▉     | 498/1000 [00:50&lt;00:50,  9.96it/s]loss 0.13 accuracy 0.97:  50%|█████     | 500/1000 [00:50&lt;00:50,  9.93it/s]loss 0.17 accuracy 0.93:  50%|█████     | 500/1000 [00:50&lt;00:50,  9.93it/s]loss 0.15 accuracy 0.95:  50%|█████     | 500/1000 [00:50&lt;00:50,  9.93it/s]loss 0.15 accuracy 0.95:  50%|█████     | 502/1000 [00:50&lt;00:50,  9.89it/s]loss 0.17 accuracy 0.94:  50%|█████     | 502/1000 [00:50&lt;00:50,  9.89it/s]loss 0.17 accuracy 0.94:  50%|█████     | 503/1000 [00:50&lt;00:50,  9.89it/s]loss 0.19 accuracy 0.95:  50%|█████     | 503/1000 [00:50&lt;00:50,  9.89it/s]loss 0.19 accuracy 0.95:  50%|█████     | 504/1000 [00:50&lt;00:50,  9.87it/s]loss 0.16 accuracy 0.95:  50%|█████     | 504/1000 [00:50&lt;00:50,  9.87it/s]loss 0.16 accuracy 0.95:  50%|█████     | 505/1000 [00:50&lt;00:50,  9.87it/s]loss 0.12 accuracy 0.98:  50%|█████     | 505/1000 [00:50&lt;00:50,  9.87it/s]loss 0.06 accuracy 0.99:  50%|█████     | 505/1000 [00:50&lt;00:50,  9.87it/s]loss 0.06 accuracy 0.99:  51%|█████     | 507/1000 [00:50&lt;00:50,  9.85it/s]loss 0.17 accuracy 0.96:  51%|█████     | 507/1000 [00:50&lt;00:50,  9.85it/s]loss 0.17 accuracy 0.96:  51%|█████     | 508/1000 [00:50&lt;00:49,  9.86it/s]loss 0.13 accuracy 0.95:  51%|█████     | 508/1000 [00:50&lt;00:49,  9.86it/s]loss 0.13 accuracy 0.95:  51%|█████     | 509/1000 [00:50&lt;00:49,  9.83it/s]loss 0.23 accuracy 0.95:  51%|█████     | 509/1000 [00:51&lt;00:49,  9.83it/s]loss 0.17 accuracy 0.95:  51%|█████     | 509/1000 [00:51&lt;00:49,  9.83it/s]loss 0.17 accuracy 0.95:  51%|█████     | 511/1000 [00:51&lt;00:49,  9.87it/s]loss 0.23 accuracy 0.94:  51%|█████     | 511/1000 [00:51&lt;00:49,  9.87it/s]loss 0.14 accuracy 0.97:  51%|█████     | 511/1000 [00:51&lt;00:49,  9.87it/s]loss 0.14 accuracy 0.97:  51%|█████▏    | 513/1000 [00:51&lt;00:49,  9.90it/s]loss 0.14 accuracy 0.95:  51%|█████▏    | 513/1000 [00:51&lt;00:49,  9.90it/s]loss 0.14 accuracy 0.95:  51%|█████▏    | 514/1000 [00:51&lt;00:49,  9.89it/s]loss 0.09 accuracy 0.97:  51%|█████▏    | 514/1000 [00:51&lt;00:49,  9.89it/s]loss 0.15 accuracy 0.96:  51%|█████▏    | 514/1000 [00:51&lt;00:49,  9.89it/s]loss 0.15 accuracy 0.96:  52%|█████▏    | 516/1000 [00:51&lt;00:48, 10.03it/s]loss 0.19 accuracy 0.94:  52%|█████▏    | 516/1000 [00:51&lt;00:48, 10.03it/s]loss 0.14 accuracy 0.98:  52%|█████▏    | 516/1000 [00:51&lt;00:48, 10.03it/s]loss 0.14 accuracy 0.98:  52%|█████▏    | 518/1000 [00:51&lt;00:47, 10.25it/s]loss 0.19 accuracy 0.95:  52%|█████▏    | 518/1000 [00:51&lt;00:47, 10.25it/s]loss 0.18 accuracy 0.95:  52%|█████▏    | 518/1000 [00:52&lt;00:47, 10.25it/s]loss 0.18 accuracy 0.95:  52%|█████▏    | 520/1000 [00:52&lt;00:47, 10.13it/s]loss 0.18 accuracy 0.94:  52%|█████▏    | 520/1000 [00:52&lt;00:47, 10.13it/s]loss 0.11 accuracy 0.97:  52%|█████▏    | 520/1000 [00:52&lt;00:47, 10.13it/s]loss 0.11 accuracy 0.97:  52%|█████▏    | 522/1000 [00:52&lt;00:47, 10.09it/s]loss 0.15 accuracy 0.97:  52%|█████▏    | 522/1000 [00:52&lt;00:47, 10.09it/s]loss 0.15 accuracy 0.95:  52%|█████▏    | 522/1000 [00:52&lt;00:47, 10.09it/s]loss 0.15 accuracy 0.95:  52%|█████▏    | 524/1000 [00:52&lt;00:47, 10.02it/s]loss 0.19 accuracy 0.92:  52%|█████▏    | 524/1000 [00:52&lt;00:47, 10.02it/s]loss 0.21 accuracy 0.94:  52%|█████▏    | 524/1000 [00:52&lt;00:47, 10.02it/s]loss 0.21 accuracy 0.94:  53%|█████▎    | 526/1000 [00:52&lt;00:47,  9.97it/s]loss 0.16 accuracy 0.95:  53%|█████▎    | 526/1000 [00:52&lt;00:47,  9.97it/s]loss 0.16 accuracy 0.95:  53%|█████▎    | 527/1000 [00:52&lt;00:48,  9.74it/s]loss 0.12 accuracy 0.96:  53%|█████▎    | 527/1000 [00:52&lt;00:48,  9.74it/s]loss 0.23 accuracy 0.93:  53%|█████▎    | 527/1000 [00:52&lt;00:48,  9.74it/s]loss 0.23 accuracy 0.93:  53%|█████▎    | 529/1000 [00:52&lt;00:47,  9.90it/s]loss 0.22 accuracy 0.93:  53%|█████▎    | 529/1000 [00:53&lt;00:47,  9.90it/s]loss 0.19 accuracy 0.95:  53%|█████▎    | 529/1000 [00:53&lt;00:47,  9.90it/s]loss 0.19 accuracy 0.95:  53%|█████▎    | 531/1000 [00:53&lt;00:47,  9.96it/s]loss 0.11 accuracy 0.97:  53%|█████▎    | 531/1000 [00:53&lt;00:47,  9.96it/s]loss 0.12 accuracy 0.97:  53%|█████▎    | 531/1000 [00:53&lt;00:47,  9.96it/s]loss 0.12 accuracy 0.97:  53%|█████▎    | 533/1000 [00:53&lt;00:46, 10.02it/s]loss 0.14 accuracy 0.95:  53%|█████▎    | 533/1000 [00:53&lt;00:46, 10.02it/s]loss 0.23 accuracy 0.95:  53%|█████▎    | 533/1000 [00:53&lt;00:46, 10.02it/s]loss 0.23 accuracy 0.95:  54%|█████▎    | 535/1000 [00:53&lt;00:46, 10.01it/s]loss 0.24 accuracy 0.94:  54%|█████▎    | 535/1000 [00:53&lt;00:46, 10.01it/s]loss 0.13 accuracy 0.96:  54%|█████▎    | 535/1000 [00:53&lt;00:46, 10.01it/s]loss 0.13 accuracy 0.96:  54%|█████▎    | 537/1000 [00:53&lt;00:45, 10.07it/s]loss 0.13 accuracy 0.97:  54%|█████▎    | 537/1000 [00:53&lt;00:45, 10.07it/s]loss 0.16 accuracy 0.96:  54%|█████▎    | 537/1000 [00:53&lt;00:45, 10.07it/s]loss 0.16 accuracy 0.96:  54%|█████▍    | 539/1000 [00:53&lt;00:45, 10.04it/s]loss 0.16 accuracy 0.95:  54%|█████▍    | 539/1000 [00:54&lt;00:45, 10.04it/s]loss 0.30 accuracy 0.94:  54%|█████▍    | 539/1000 [00:54&lt;00:45, 10.04it/s]loss 0.30 accuracy 0.94:  54%|█████▍    | 541/1000 [00:54&lt;00:45, 10.10it/s]loss 0.19 accuracy 0.94:  54%|█████▍    | 541/1000 [00:54&lt;00:45, 10.10it/s]loss 0.16 accuracy 0.94:  54%|█████▍    | 541/1000 [00:54&lt;00:45, 10.10it/s]loss 0.16 accuracy 0.94:  54%|█████▍    | 543/1000 [00:54&lt;00:46,  9.83it/s]loss 0.19 accuracy 0.95:  54%|█████▍    | 543/1000 [00:54&lt;00:46,  9.83it/s]loss 0.19 accuracy 0.95:  54%|█████▍    | 544/1000 [00:54&lt;00:46,  9.86it/s]loss 0.12 accuracy 0.97:  54%|█████▍    | 544/1000 [00:54&lt;00:46,  9.86it/s]loss 0.23 accuracy 0.91:  54%|█████▍    | 544/1000 [00:54&lt;00:46,  9.86it/s]loss 0.23 accuracy 0.91:  55%|█████▍    | 546/1000 [00:54&lt;00:45,  9.95it/s]loss 0.10 accuracy 0.97:  55%|█████▍    | 546/1000 [00:54&lt;00:45,  9.95it/s]loss 0.11 accuracy 0.98:  55%|█████▍    | 546/1000 [00:54&lt;00:45,  9.95it/s]loss 0.11 accuracy 0.98:  55%|█████▍    | 548/1000 [00:54&lt;00:45, 10.01it/s]loss 0.18 accuracy 0.94:  55%|█████▍    | 548/1000 [00:54&lt;00:45, 10.01it/s]loss 0.15 accuracy 0.96:  55%|█████▍    | 548/1000 [00:55&lt;00:45, 10.01it/s]loss 0.15 accuracy 0.96:  55%|█████▌    | 550/1000 [00:55&lt;00:45,  9.98it/s]loss 0.14 accuracy 0.98:  55%|█████▌    | 550/1000 [00:55&lt;00:45,  9.98it/s]loss 0.27 accuracy 0.92:  55%|█████▌    | 550/1000 [00:55&lt;00:45,  9.98it/s]loss 0.27 accuracy 0.92:  55%|█████▌    | 552/1000 [00:55&lt;00:44, 10.06it/s]loss 0.24 accuracy 0.92:  55%|█████▌    | 552/1000 [00:55&lt;00:44, 10.06it/s]loss 0.13 accuracy 0.97:  55%|█████▌    | 552/1000 [00:55&lt;00:44, 10.06it/s]loss 0.13 accuracy 0.97:  55%|█████▌    | 554/1000 [00:55&lt;00:44, 10.02it/s]loss 0.23 accuracy 0.95:  55%|█████▌    | 554/1000 [00:55&lt;00:44, 10.02it/s]loss 0.24 accuracy 0.94:  55%|█████▌    | 554/1000 [00:55&lt;00:44, 10.02it/s]loss 0.24 accuracy 0.94:  56%|█████▌    | 556/1000 [00:55&lt;00:44,  9.97it/s]loss 0.16 accuracy 0.98:  56%|█████▌    | 556/1000 [00:55&lt;00:44,  9.97it/s]loss 0.11 accuracy 0.98:  56%|█████▌    | 556/1000 [00:55&lt;00:44,  9.97it/s]loss 0.11 accuracy 0.98:  56%|█████▌    | 558/1000 [00:55&lt;00:44, 10.04it/s]loss 0.14 accuracy 0.98:  56%|█████▌    | 558/1000 [00:55&lt;00:44, 10.04it/s]loss 0.09 accuracy 0.98:  56%|█████▌    | 558/1000 [00:56&lt;00:44, 10.04it/s]loss 0.09 accuracy 0.98:  56%|█████▌    | 560/1000 [00:56&lt;00:43, 10.02it/s]loss 0.11 accuracy 0.97:  56%|█████▌    | 560/1000 [00:56&lt;00:43, 10.02it/s]loss 0.12 accuracy 0.97:  56%|█████▌    | 560/1000 [00:56&lt;00:43, 10.02it/s]loss 0.12 accuracy 0.97:  56%|█████▌    | 562/1000 [00:56&lt;00:43, 10.00it/s]loss 0.19 accuracy 0.95:  56%|█████▌    | 562/1000 [00:56&lt;00:43, 10.00it/s]loss 0.06 accuracy 0.98:  56%|█████▌    | 562/1000 [00:56&lt;00:43, 10.00it/s]loss 0.06 accuracy 0.98:  56%|█████▋    | 564/1000 [00:56&lt;00:43,  9.99it/s]loss 0.11 accuracy 0.96:  56%|█████▋    | 564/1000 [00:56&lt;00:43,  9.99it/s]loss 0.13 accuracy 0.97:  56%|█████▋    | 564/1000 [00:56&lt;00:43,  9.99it/s]loss 0.13 accuracy 0.97:  57%|█████▋    | 566/1000 [00:56&lt;00:43,  9.99it/s]loss 0.12 accuracy 0.98:  57%|█████▋    | 566/1000 [00:56&lt;00:43,  9.99it/s]loss 0.17 accuracy 0.95:  57%|█████▋    | 566/1000 [00:56&lt;00:43,  9.99it/s]loss 0.17 accuracy 0.95:  57%|█████▋    | 568/1000 [00:56&lt;00:43,  9.98it/s]loss 0.22 accuracy 0.94:  57%|█████▋    | 568/1000 [00:56&lt;00:43,  9.98it/s]loss 0.22 accuracy 0.94:  57%|█████▋    | 569/1000 [00:56&lt;00:43,  9.97it/s]loss 0.18 accuracy 0.94:  57%|█████▋    | 569/1000 [00:57&lt;00:43,  9.97it/s]loss 0.18 accuracy 0.94:  57%|█████▋    | 570/1000 [00:57&lt;00:43,  9.97it/s]loss 0.08 accuracy 0.98:  57%|█████▋    | 570/1000 [00:57&lt;00:43,  9.97it/s]loss 0.22 accuracy 0.95:  57%|█████▋    | 570/1000 [00:57&lt;00:43,  9.97it/s]loss 0.22 accuracy 0.95:  57%|█████▋    | 572/1000 [00:57&lt;00:42, 10.00it/s]loss 0.12 accuracy 0.96:  57%|█████▋    | 572/1000 [00:57&lt;00:42, 10.00it/s]loss 0.12 accuracy 0.96:  57%|█████▋    | 573/1000 [00:57&lt;00:42,  9.94it/s]loss 0.13 accuracy 0.98:  57%|█████▋    | 573/1000 [00:57&lt;00:42,  9.94it/s]loss 0.11 accuracy 0.96:  57%|█████▋    | 573/1000 [00:57&lt;00:42,  9.94it/s]loss 0.11 accuracy 0.96:  57%|█████▊    | 575/1000 [00:57&lt;00:42,  9.91it/s]loss 0.18 accuracy 0.95:  57%|█████▊    | 575/1000 [00:57&lt;00:42,  9.91it/s]loss 0.18 accuracy 0.95:  58%|█████▊    | 576/1000 [00:57&lt;00:42,  9.88it/s]loss 0.13 accuracy 0.96:  58%|█████▊    | 576/1000 [00:57&lt;00:42,  9.88it/s]loss 0.13 accuracy 0.96:  58%|█████▊    | 577/1000 [00:57&lt;00:42,  9.87it/s]loss 0.09 accuracy 0.98:  58%|█████▊    | 577/1000 [00:57&lt;00:42,  9.87it/s]loss 0.12 accuracy 0.96:  58%|█████▊    | 577/1000 [00:57&lt;00:42,  9.87it/s]loss 0.12 accuracy 0.96:  58%|█████▊    | 579/1000 [00:57&lt;00:42,  9.96it/s]loss 0.11 accuracy 0.98:  58%|█████▊    | 579/1000 [00:58&lt;00:42,  9.96it/s]loss 0.13 accuracy 0.97:  58%|█████▊    | 579/1000 [00:58&lt;00:42,  9.96it/s]loss 0.13 accuracy 0.97:  58%|█████▊    | 581/1000 [00:58&lt;00:41,  9.99it/s]loss 0.09 accuracy 0.95:  58%|█████▊    | 581/1000 [00:58&lt;00:41,  9.99it/s]loss 0.09 accuracy 0.95:  58%|█████▊    | 582/1000 [00:58&lt;00:41,  9.99it/s]loss 0.19 accuracy 0.95:  58%|█████▊    | 582/1000 [00:58&lt;00:41,  9.99it/s]loss 0.19 accuracy 0.95:  58%|█████▊    | 583/1000 [00:58&lt;00:41,  9.99it/s]loss 0.06 accuracy 0.99:  58%|█████▊    | 583/1000 [00:58&lt;00:41,  9.99it/s]loss 0.06 accuracy 0.99:  58%|█████▊    | 584/1000 [00:58&lt;00:41,  9.97it/s]loss 0.23 accuracy 0.94:  58%|█████▊    | 584/1000 [00:58&lt;00:41,  9.97it/s]loss 0.17 accuracy 0.95:  58%|█████▊    | 584/1000 [00:58&lt;00:41,  9.97it/s]loss 0.17 accuracy 0.95:  59%|█████▊    | 586/1000 [00:58&lt;00:41,  9.94it/s]loss 0.07 accuracy 0.98:  59%|█████▊    | 586/1000 [00:58&lt;00:41,  9.94it/s]loss 0.24 accuracy 0.95:  59%|█████▊    | 586/1000 [00:58&lt;00:41,  9.94it/s]loss 0.24 accuracy 0.95:  59%|█████▉    | 588/1000 [00:58&lt;00:41,  9.94it/s]loss 0.25 accuracy 0.92:  59%|█████▉    | 588/1000 [00:58&lt;00:41,  9.94it/s]loss 0.25 accuracy 0.92:  59%|█████▉    | 589/1000 [00:58&lt;00:41,  9.91it/s]loss 0.10 accuracy 0.98:  59%|█████▉    | 589/1000 [00:59&lt;00:41,  9.91it/s]loss 0.16 accuracy 0.96:  59%|█████▉    | 589/1000 [00:59&lt;00:41,  9.91it/s]loss 0.16 accuracy 0.96:  59%|█████▉    | 591/1000 [00:59&lt;00:41,  9.96it/s]loss 0.14 accuracy 0.94:  59%|█████▉    | 591/1000 [00:59&lt;00:41,  9.96it/s]loss 0.14 accuracy 0.94:  59%|█████▉    | 592/1000 [00:59&lt;00:41,  9.90it/s]loss 0.17 accuracy 0.97:  59%|█████▉    | 592/1000 [00:59&lt;00:41,  9.90it/s]loss 0.17 accuracy 0.97:  59%|█████▉    | 593/1000 [00:59&lt;00:41,  9.91it/s]loss 0.19 accuracy 0.95:  59%|█████▉    | 593/1000 [00:59&lt;00:41,  9.91it/s]loss 0.22 accuracy 0.94:  59%|█████▉    | 593/1000 [00:59&lt;00:41,  9.91it/s]loss 0.22 accuracy 0.94:  60%|█████▉    | 595/1000 [00:59&lt;00:40,  9.95it/s]loss 0.16 accuracy 0.97:  60%|█████▉    | 595/1000 [00:59&lt;00:40,  9.95it/s]loss 0.16 accuracy 0.97:  60%|█████▉    | 596/1000 [00:59&lt;00:40,  9.89it/s]loss 0.19 accuracy 0.94:  60%|█████▉    | 596/1000 [00:59&lt;00:40,  9.89it/s]loss 0.13 accuracy 0.97:  60%|█████▉    | 596/1000 [00:59&lt;00:40,  9.89it/s]loss 0.13 accuracy 0.97:  60%|█████▉    | 598/1000 [00:59&lt;00:39, 10.09it/s]loss 0.16 accuracy 0.95:  60%|█████▉    | 598/1000 [00:59&lt;00:39, 10.09it/s]loss 0.15 accuracy 0.97:  60%|█████▉    | 598/1000 [01:00&lt;00:39, 10.09it/s]loss 0.15 accuracy 0.97:  60%|██████    | 600/1000 [01:00&lt;00:39, 10.13it/s]loss 0.13 accuracy 0.97:  60%|██████    | 600/1000 [01:00&lt;00:39, 10.13it/s]loss 0.17 accuracy 0.95:  60%|██████    | 600/1000 [01:00&lt;00:39, 10.13it/s]loss 0.17 accuracy 0.95:  60%|██████    | 602/1000 [01:00&lt;00:39, 10.05it/s]loss 0.15 accuracy 0.94:  60%|██████    | 602/1000 [01:00&lt;00:39, 10.05it/s]loss 0.17 accuracy 0.96:  60%|██████    | 602/1000 [01:00&lt;00:39, 10.05it/s]loss 0.17 accuracy 0.96:  60%|██████    | 604/1000 [01:00&lt;00:39,  9.98it/s]loss 0.16 accuracy 0.93:  60%|██████    | 604/1000 [01:00&lt;00:39,  9.98it/s]loss 0.16 accuracy 0.93:  60%|██████    | 605/1000 [01:00&lt;00:39,  9.95it/s]loss 0.13 accuracy 0.95:  60%|██████    | 605/1000 [01:00&lt;00:39,  9.95it/s]loss 0.13 accuracy 0.95:  61%|██████    | 606/1000 [01:00&lt;00:39,  9.95it/s]loss 0.12 accuracy 0.95:  61%|██████    | 606/1000 [01:00&lt;00:39,  9.95it/s]loss 0.12 accuracy 0.95:  61%|██████    | 607/1000 [01:00&lt;00:39,  9.96it/s]loss 0.13 accuracy 0.95:  61%|██████    | 607/1000 [01:00&lt;00:39,  9.96it/s]loss 0.19 accuracy 0.94:  61%|██████    | 607/1000 [01:00&lt;00:39,  9.96it/s]loss 0.19 accuracy 0.94:  61%|██████    | 609/1000 [01:00&lt;00:39,  9.94it/s]loss 0.12 accuracy 0.97:  61%|██████    | 609/1000 [01:01&lt;00:39,  9.94it/s]loss 0.10 accuracy 0.97:  61%|██████    | 609/1000 [01:01&lt;00:39,  9.94it/s]loss 0.10 accuracy 0.97:  61%|██████    | 611/1000 [01:01&lt;00:38, 10.12it/s]loss 0.06 accuracy 0.99:  61%|██████    | 611/1000 [01:01&lt;00:38, 10.12it/s]loss 0.16 accuracy 0.96:  61%|██████    | 611/1000 [01:01&lt;00:38, 10.12it/s]loss 0.16 accuracy 0.96:  61%|██████▏   | 613/1000 [01:01&lt;00:38, 10.05it/s]loss 0.11 accuracy 0.98:  61%|██████▏   | 613/1000 [01:01&lt;00:38, 10.05it/s]loss 0.12 accuracy 0.96:  61%|██████▏   | 613/1000 [01:01&lt;00:38, 10.05it/s]loss 0.12 accuracy 0.96:  62%|██████▏   | 615/1000 [01:01&lt;00:38, 10.02it/s]loss 0.10 accuracy 0.98:  62%|██████▏   | 615/1000 [01:01&lt;00:38, 10.02it/s]loss 0.12 accuracy 0.97:  62%|██████▏   | 615/1000 [01:01&lt;00:38, 10.02it/s]loss 0.12 accuracy 0.97:  62%|██████▏   | 617/1000 [01:01&lt;00:38, 10.01it/s]loss 0.30 accuracy 0.95:  62%|██████▏   | 617/1000 [01:01&lt;00:38, 10.01it/s]loss 0.24 accuracy 0.90:  62%|██████▏   | 617/1000 [01:01&lt;00:38, 10.01it/s]loss 0.24 accuracy 0.90:  62%|██████▏   | 619/1000 [01:01&lt;00:37, 10.09it/s]loss 0.15 accuracy 0.95:  62%|██████▏   | 619/1000 [01:02&lt;00:37, 10.09it/s]loss 0.13 accuracy 0.97:  62%|██████▏   | 619/1000 [01:02&lt;00:37, 10.09it/s]loss 0.13 accuracy 0.97:  62%|██████▏   | 621/1000 [01:02&lt;00:37, 10.20it/s]loss 0.18 accuracy 0.95:  62%|██████▏   | 621/1000 [01:02&lt;00:37, 10.20it/s]loss 0.11 accuracy 0.97:  62%|██████▏   | 621/1000 [01:02&lt;00:37, 10.20it/s]loss 0.11 accuracy 0.97:  62%|██████▏   | 623/1000 [01:02&lt;00:37, 10.08it/s]loss 0.16 accuracy 0.97:  62%|██████▏   | 623/1000 [01:02&lt;00:37, 10.08it/s]loss 0.06 accuracy 0.99:  62%|██████▏   | 623/1000 [01:02&lt;00:37, 10.08it/s]loss 0.06 accuracy 0.99:  62%|██████▎   | 625/1000 [01:02&lt;00:37, 10.09it/s]loss 0.09 accuracy 0.97:  62%|██████▎   | 625/1000 [01:02&lt;00:37, 10.09it/s]loss 0.21 accuracy 0.95:  62%|██████▎   | 625/1000 [01:02&lt;00:37, 10.09it/s]loss 0.21 accuracy 0.95:  63%|██████▎   | 627/1000 [01:02&lt;00:36, 10.16it/s]loss 0.17 accuracy 0.96:  63%|██████▎   | 627/1000 [01:02&lt;00:36, 10.16it/s]loss 0.22 accuracy 0.95:  63%|██████▎   | 627/1000 [01:02&lt;00:36, 10.16it/s]loss 0.22 accuracy 0.95:  63%|██████▎   | 629/1000 [01:02&lt;00:36, 10.23it/s]loss 0.09 accuracy 0.97:  63%|██████▎   | 629/1000 [01:03&lt;00:36, 10.23it/s]loss 0.11 accuracy 0.98:  63%|██████▎   | 629/1000 [01:03&lt;00:36, 10.23it/s]loss 0.11 accuracy 0.98:  63%|██████▎   | 631/1000 [01:03&lt;00:37,  9.83it/s]loss 0.12 accuracy 0.97:  63%|██████▎   | 631/1000 [01:03&lt;00:37,  9.83it/s]loss 0.12 accuracy 0.97:  63%|██████▎   | 632/1000 [01:03&lt;00:38,  9.52it/s]loss 0.18 accuracy 0.95:  63%|██████▎   | 632/1000 [01:03&lt;00:38,  9.52it/s]loss 0.18 accuracy 0.95:  63%|██████▎   | 632/1000 [01:03&lt;00:38,  9.52it/s]loss 0.18 accuracy 0.95:  63%|██████▎   | 634/1000 [01:03&lt;00:37,  9.76it/s]loss 0.09 accuracy 0.97:  63%|██████▎   | 634/1000 [01:03&lt;00:37,  9.76it/s]loss 0.16 accuracy 0.96:  63%|██████▎   | 634/1000 [01:03&lt;00:37,  9.76it/s]loss 0.16 accuracy 0.96:  64%|██████▎   | 636/1000 [01:03&lt;00:37,  9.84it/s]loss 0.16 accuracy 0.98:  64%|██████▎   | 636/1000 [01:03&lt;00:37,  9.84it/s]loss 0.16 accuracy 0.98:  64%|██████▎   | 637/1000 [01:03&lt;00:38,  9.50it/s]loss 0.14 accuracy 0.95:  64%|██████▎   | 637/1000 [01:03&lt;00:38,  9.50it/s]loss 0.15 accuracy 0.95:  64%|██████▎   | 637/1000 [01:03&lt;00:38,  9.50it/s]loss 0.15 accuracy 0.95:  64%|██████▍   | 639/1000 [01:03&lt;00:37,  9.74it/s]loss 0.16 accuracy 0.95:  64%|██████▍   | 639/1000 [01:04&lt;00:37,  9.74it/s]loss 0.06 accuracy 0.98:  64%|██████▍   | 639/1000 [01:04&lt;00:37,  9.74it/s]loss 0.06 accuracy 0.98:  64%|██████▍   | 641/1000 [01:04&lt;00:36,  9.82it/s]loss 0.10 accuracy 0.96:  64%|██████▍   | 641/1000 [01:04&lt;00:36,  9.82it/s]loss 0.09 accuracy 0.97:  64%|██████▍   | 641/1000 [01:04&lt;00:36,  9.82it/s]loss 0.09 accuracy 0.97:  64%|██████▍   | 643/1000 [01:04&lt;00:35,  9.97it/s]loss 0.09 accuracy 0.98:  64%|██████▍   | 643/1000 [01:04&lt;00:35,  9.97it/s]loss 0.09 accuracy 0.98:  64%|██████▍   | 644/1000 [01:04&lt;00:35,  9.97it/s]loss 0.19 accuracy 0.95:  64%|██████▍   | 644/1000 [01:04&lt;00:35,  9.97it/s]loss 0.12 accuracy 0.95:  64%|██████▍   | 644/1000 [01:04&lt;00:35,  9.97it/s]loss 0.12 accuracy 0.95:  65%|██████▍   | 646/1000 [01:04&lt;00:35, 10.02it/s]loss 0.09 accuracy 0.98:  65%|██████▍   | 646/1000 [01:04&lt;00:35, 10.02it/s]loss 0.09 accuracy 0.98:  65%|██████▍   | 647/1000 [01:04&lt;00:35,  9.97it/s]loss 0.20 accuracy 0.95:  65%|██████▍   | 647/1000 [01:04&lt;00:35,  9.97it/s]loss 0.11 accuracy 0.97:  65%|██████▍   | 647/1000 [01:04&lt;00:35,  9.97it/s]loss 0.11 accuracy 0.97:  65%|██████▍   | 649/1000 [01:04&lt;00:34, 10.03it/s]loss 0.12 accuracy 0.95:  65%|██████▍   | 649/1000 [01:05&lt;00:34, 10.03it/s]loss 0.14 accuracy 0.97:  65%|██████▍   | 649/1000 [01:05&lt;00:34, 10.03it/s]loss 0.14 accuracy 0.97:  65%|██████▌   | 651/1000 [01:05&lt;00:34, 10.06it/s]loss 0.09 accuracy 0.98:  65%|██████▌   | 651/1000 [01:05&lt;00:34, 10.06it/s]loss 0.20 accuracy 0.95:  65%|██████▌   | 651/1000 [01:05&lt;00:34, 10.06it/s]loss 0.20 accuracy 0.95:  65%|██████▌   | 653/1000 [01:05&lt;00:34, 10.03it/s]loss 0.16 accuracy 0.95:  65%|██████▌   | 653/1000 [01:05&lt;00:34, 10.03it/s]loss 0.23 accuracy 0.96:  65%|██████▌   | 653/1000 [01:05&lt;00:34, 10.03it/s]loss 0.23 accuracy 0.96:  66%|██████▌   | 655/1000 [01:05&lt;00:33, 10.20it/s]loss 0.17 accuracy 0.96:  66%|██████▌   | 655/1000 [01:05&lt;00:33, 10.20it/s]loss 0.09 accuracy 0.98:  66%|██████▌   | 655/1000 [01:05&lt;00:33, 10.20it/s]loss 0.09 accuracy 0.98:  66%|██████▌   | 657/1000 [01:05&lt;00:33, 10.19it/s]loss 0.19 accuracy 0.95:  66%|██████▌   | 657/1000 [01:05&lt;00:33, 10.19it/s]loss 0.24 accuracy 0.95:  66%|██████▌   | 657/1000 [01:05&lt;00:33, 10.19it/s]loss 0.24 accuracy 0.95:  66%|██████▌   | 659/1000 [01:05&lt;00:33, 10.13it/s]loss 0.18 accuracy 0.93:  66%|██████▌   | 659/1000 [01:06&lt;00:33, 10.13it/s]loss 0.17 accuracy 0.97:  66%|██████▌   | 659/1000 [01:06&lt;00:33, 10.13it/s]loss 0.17 accuracy 0.97:  66%|██████▌   | 661/1000 [01:06&lt;00:33, 10.12it/s]loss 0.14 accuracy 0.96:  66%|██████▌   | 661/1000 [01:06&lt;00:33, 10.12it/s]loss 0.11 accuracy 0.95:  66%|██████▌   | 661/1000 [01:06&lt;00:33, 10.12it/s]loss 0.11 accuracy 0.95:  66%|██████▋   | 663/1000 [01:06&lt;00:33, 10.11it/s]loss 0.12 accuracy 0.98:  66%|██████▋   | 663/1000 [01:06&lt;00:33, 10.11it/s]loss 0.12 accuracy 0.96:  66%|██████▋   | 663/1000 [01:06&lt;00:33, 10.11it/s]loss 0.12 accuracy 0.96:  66%|██████▋   | 665/1000 [01:06&lt;00:33, 10.07it/s]loss 0.11 accuracy 0.95:  66%|██████▋   | 665/1000 [01:06&lt;00:33, 10.07it/s]loss 0.13 accuracy 0.95:  66%|██████▋   | 665/1000 [01:06&lt;00:33, 10.07it/s]loss 0.13 accuracy 0.95:  67%|██████▋   | 667/1000 [01:06&lt;00:33,  9.99it/s]loss 0.20 accuracy 0.95:  67%|██████▋   | 667/1000 [01:06&lt;00:33,  9.99it/s]loss 0.10 accuracy 0.96:  67%|██████▋   | 667/1000 [01:06&lt;00:33,  9.99it/s]loss 0.10 accuracy 0.96:  67%|██████▋   | 669/1000 [01:06&lt;00:33,  9.99it/s]loss 0.11 accuracy 0.96:  67%|██████▋   | 669/1000 [01:07&lt;00:33,  9.99it/s]loss 0.16 accuracy 0.96:  67%|██████▋   | 669/1000 [01:07&lt;00:33,  9.99it/s]loss 0.16 accuracy 0.96:  67%|██████▋   | 671/1000 [01:07&lt;00:32, 10.07it/s]loss 0.12 accuracy 0.97:  67%|██████▋   | 671/1000 [01:07&lt;00:32, 10.07it/s]loss 0.07 accuracy 0.99:  67%|██████▋   | 671/1000 [01:07&lt;00:32, 10.07it/s]loss 0.07 accuracy 0.99:  67%|██████▋   | 673/1000 [01:07&lt;00:32, 10.22it/s]loss 0.10 accuracy 0.97:  67%|██████▋   | 673/1000 [01:07&lt;00:32, 10.22it/s]loss 0.17 accuracy 0.95:  67%|██████▋   | 673/1000 [01:07&lt;00:32, 10.22it/s]loss 0.17 accuracy 0.95:  68%|██████▊   | 675/1000 [01:07&lt;00:31, 10.18it/s]loss 0.10 accuracy 0.98:  68%|██████▊   | 675/1000 [01:07&lt;00:31, 10.18it/s]loss 0.12 accuracy 0.96:  68%|██████▊   | 675/1000 [01:07&lt;00:31, 10.18it/s]loss 0.12 accuracy 0.96:  68%|██████▊   | 677/1000 [01:07&lt;00:32, 10.06it/s]loss 0.15 accuracy 0.97:  68%|██████▊   | 677/1000 [01:07&lt;00:32, 10.06it/s]loss 0.07 accuracy 0.98:  68%|██████▊   | 677/1000 [01:07&lt;00:32, 10.06it/s]loss 0.07 accuracy 0.98:  68%|██████▊   | 679/1000 [01:07&lt;00:32, 10.01it/s]loss 0.12 accuracy 0.97:  68%|██████▊   | 679/1000 [01:08&lt;00:32, 10.01it/s]loss 0.06 accuracy 0.98:  68%|██████▊   | 679/1000 [01:08&lt;00:32, 10.01it/s]loss 0.06 accuracy 0.98:  68%|██████▊   | 681/1000 [01:08&lt;00:31,  9.98it/s]loss 0.11 accuracy 0.97:  68%|██████▊   | 681/1000 [01:08&lt;00:31,  9.98it/s]loss 0.11 accuracy 0.97:  68%|██████▊   | 682/1000 [01:08&lt;00:31,  9.95it/s]loss 0.15 accuracy 0.97:  68%|██████▊   | 682/1000 [01:08&lt;00:31,  9.95it/s]loss 0.15 accuracy 0.97:  68%|██████▊   | 683/1000 [01:08&lt;00:32,  9.83it/s]loss 0.10 accuracy 0.98:  68%|██████▊   | 683/1000 [01:08&lt;00:32,  9.83it/s]loss 0.10 accuracy 0.98:  68%|██████▊   | 684/1000 [01:08&lt;00:32,  9.80it/s]loss 0.11 accuracy 0.98:  68%|██████▊   | 684/1000 [01:08&lt;00:32,  9.80it/s]loss 0.11 accuracy 0.98:  68%|██████▊   | 685/1000 [01:08&lt;00:32,  9.83it/s]loss 0.21 accuracy 0.95:  68%|██████▊   | 685/1000 [01:08&lt;00:32,  9.83it/s]loss 0.21 accuracy 0.95:  69%|██████▊   | 686/1000 [01:08&lt;00:31,  9.85it/s]loss 0.08 accuracy 0.98:  69%|██████▊   | 686/1000 [01:08&lt;00:31,  9.85it/s]loss 0.08 accuracy 0.98:  69%|██████▊   | 687/1000 [01:08&lt;00:32,  9.74it/s]loss 0.13 accuracy 0.98:  69%|██████▊   | 687/1000 [01:08&lt;00:32,  9.74it/s]loss 0.13 accuracy 0.98:  69%|██████▉   | 688/1000 [01:08&lt;00:32,  9.72it/s]loss 0.16 accuracy 0.96:  69%|██████▉   | 688/1000 [01:08&lt;00:32,  9.72it/s]loss 0.13 accuracy 0.95:  69%|██████▉   | 688/1000 [01:09&lt;00:32,  9.72it/s]loss 0.13 accuracy 0.95:  69%|██████▉   | 690/1000 [01:09&lt;00:31,  9.93it/s]loss 0.09 accuracy 0.99:  69%|██████▉   | 690/1000 [01:09&lt;00:31,  9.93it/s]loss 0.10 accuracy 0.96:  69%|██████▉   | 690/1000 [01:09&lt;00:31,  9.93it/s]loss 0.10 accuracy 0.96:  69%|██████▉   | 692/1000 [01:09&lt;00:31,  9.77it/s]loss 0.17 accuracy 0.93:  69%|██████▉   | 692/1000 [01:09&lt;00:31,  9.77it/s]loss 0.17 accuracy 0.93:  69%|██████▉   | 693/1000 [01:09&lt;00:31,  9.76it/s]loss 0.13 accuracy 0.97:  69%|██████▉   | 693/1000 [01:09&lt;00:31,  9.76it/s]loss 0.13 accuracy 0.97:  69%|██████▉   | 694/1000 [01:09&lt;00:31,  9.78it/s]loss 0.08 accuracy 0.98:  69%|██████▉   | 694/1000 [01:09&lt;00:31,  9.78it/s]loss 0.08 accuracy 0.98:  70%|██████▉   | 695/1000 [01:09&lt;00:31,  9.82it/s]loss 0.19 accuracy 0.95:  70%|██████▉   | 695/1000 [01:09&lt;00:31,  9.82it/s]loss 0.16 accuracy 0.98:  70%|██████▉   | 695/1000 [01:09&lt;00:31,  9.82it/s]loss 0.16 accuracy 0.98:  70%|██████▉   | 697/1000 [01:09&lt;00:30,  9.88it/s]loss 0.11 accuracy 0.98:  70%|██████▉   | 697/1000 [01:09&lt;00:30,  9.88it/s]loss 0.11 accuracy 0.98:  70%|██████▉   | 698/1000 [01:09&lt;00:30,  9.88it/s]loss 0.15 accuracy 0.96:  70%|██████▉   | 698/1000 [01:09&lt;00:30,  9.88it/s]loss 0.12 accuracy 0.95:  70%|██████▉   | 698/1000 [01:10&lt;00:30,  9.88it/s]loss 0.12 accuracy 0.95:  70%|███████   | 700/1000 [01:10&lt;00:30,  9.97it/s]loss 0.08 accuracy 0.98:  70%|███████   | 700/1000 [01:10&lt;00:30,  9.97it/s]loss 0.08 accuracy 0.98:  70%|███████   | 701/1000 [01:10&lt;00:29,  9.97it/s]loss 0.09 accuracy 0.97:  70%|███████   | 701/1000 [01:10&lt;00:29,  9.97it/s]loss 0.09 accuracy 0.97:  70%|███████   | 702/1000 [01:10&lt;00:30,  9.89it/s]loss 0.12 accuracy 0.97:  70%|███████   | 702/1000 [01:10&lt;00:30,  9.89it/s]loss 0.17 accuracy 0.94:  70%|███████   | 702/1000 [01:10&lt;00:30,  9.89it/s]loss 0.17 accuracy 0.94:  70%|███████   | 704/1000 [01:10&lt;00:29,  9.95it/s]loss 0.12 accuracy 0.98:  70%|███████   | 704/1000 [01:10&lt;00:29,  9.95it/s]loss 0.12 accuracy 0.98:  70%|███████   | 705/1000 [01:10&lt;00:29,  9.95it/s]loss 0.07 accuracy 0.98:  70%|███████   | 705/1000 [01:10&lt;00:29,  9.95it/s]loss 0.07 accuracy 0.98:  71%|███████   | 706/1000 [01:10&lt;00:29,  9.91it/s]loss 0.11 accuracy 0.98:  71%|███████   | 706/1000 [01:10&lt;00:29,  9.91it/s]loss 0.11 accuracy 0.98:  71%|███████   | 707/1000 [01:10&lt;00:29,  9.85it/s]loss 0.23 accuracy 0.97:  71%|███████   | 707/1000 [01:10&lt;00:29,  9.85it/s]loss 0.18 accuracy 0.96:  71%|███████   | 707/1000 [01:10&lt;00:29,  9.85it/s]loss 0.18 accuracy 0.96:  71%|███████   | 709/1000 [01:10&lt;00:29,  9.92it/s]loss 0.12 accuracy 0.95:  71%|███████   | 709/1000 [01:11&lt;00:29,  9.92it/s]loss 0.12 accuracy 0.95:  71%|███████   | 710/1000 [01:11&lt;00:29,  9.92it/s]loss 0.11 accuracy 0.97:  71%|███████   | 710/1000 [01:11&lt;00:29,  9.92it/s]loss 0.13 accuracy 0.97:  71%|███████   | 710/1000 [01:11&lt;00:29,  9.92it/s]loss 0.13 accuracy 0.97:  71%|███████   | 712/1000 [01:11&lt;00:28,  9.95it/s]loss 0.12 accuracy 0.94:  71%|███████   | 712/1000 [01:11&lt;00:28,  9.95it/s]loss 0.16 accuracy 0.98:  71%|███████   | 712/1000 [01:11&lt;00:28,  9.95it/s]loss 0.16 accuracy 0.98:  71%|███████▏  | 714/1000 [01:11&lt;00:28,  9.98it/s]loss 0.10 accuracy 0.97:  71%|███████▏  | 714/1000 [01:11&lt;00:28,  9.98it/s]loss 0.06 accuracy 0.98:  71%|███████▏  | 714/1000 [01:11&lt;00:28,  9.98it/s]loss 0.06 accuracy 0.98:  72%|███████▏  | 716/1000 [01:11&lt;00:28,  9.98it/s]loss 0.15 accuracy 0.96:  72%|███████▏  | 716/1000 [01:11&lt;00:28,  9.98it/s]loss 0.15 accuracy 0.96:  72%|███████▏  | 717/1000 [01:11&lt;00:28,  9.98it/s]loss 0.15 accuracy 0.96:  72%|███████▏  | 717/1000 [01:11&lt;00:28,  9.98it/s]loss 0.10 accuracy 0.95:  72%|███████▏  | 717/1000 [01:11&lt;00:28,  9.98it/s]loss 0.10 accuracy 0.95:  72%|███████▏  | 719/1000 [01:11&lt;00:27, 10.10it/s]loss 0.09 accuracy 0.97:  72%|███████▏  | 719/1000 [01:12&lt;00:27, 10.10it/s]loss 0.07 accuracy 0.98:  72%|███████▏  | 719/1000 [01:12&lt;00:27, 10.10it/s]loss 0.07 accuracy 0.98:  72%|███████▏  | 721/1000 [01:12&lt;00:27, 10.12it/s]loss 0.07 accuracy 0.98:  72%|███████▏  | 721/1000 [01:12&lt;00:27, 10.12it/s]loss 0.13 accuracy 0.98:  72%|███████▏  | 721/1000 [01:12&lt;00:27, 10.12it/s]loss 0.13 accuracy 0.98:  72%|███████▏  | 723/1000 [01:12&lt;00:27, 10.24it/s]loss 0.19 accuracy 0.94:  72%|███████▏  | 723/1000 [01:12&lt;00:27, 10.24it/s]loss 0.15 accuracy 0.95:  72%|███████▏  | 723/1000 [01:12&lt;00:27, 10.24it/s]loss 0.15 accuracy 0.95:  72%|███████▎  | 725/1000 [01:12&lt;00:26, 10.26it/s]loss 0.09 accuracy 0.97:  72%|███████▎  | 725/1000 [01:12&lt;00:26, 10.26it/s]loss 0.16 accuracy 0.96:  72%|███████▎  | 725/1000 [01:12&lt;00:26, 10.26it/s]loss 0.16 accuracy 0.96:  73%|███████▎  | 727/1000 [01:12&lt;00:27, 10.09it/s]loss 0.12 accuracy 0.96:  73%|███████▎  | 727/1000 [01:12&lt;00:27, 10.09it/s]loss 0.07 accuracy 0.98:  73%|███████▎  | 727/1000 [01:12&lt;00:27, 10.09it/s]loss 0.07 accuracy 0.98:  73%|███████▎  | 729/1000 [01:12&lt;00:26, 10.18it/s]loss 0.08 accuracy 0.99:  73%|███████▎  | 729/1000 [01:13&lt;00:26, 10.18it/s]loss 0.17 accuracy 0.95:  73%|███████▎  | 729/1000 [01:13&lt;00:26, 10.18it/s]loss 0.17 accuracy 0.95:  73%|███████▎  | 731/1000 [01:13&lt;00:26, 10.10it/s]loss 0.12 accuracy 0.98:  73%|███████▎  | 731/1000 [01:13&lt;00:26, 10.10it/s]loss 0.20 accuracy 0.96:  73%|███████▎  | 731/1000 [01:13&lt;00:26, 10.10it/s]loss 0.20 accuracy 0.96:  73%|███████▎  | 733/1000 [01:13&lt;00:26, 10.09it/s]loss 0.05 accuracy 0.99: 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10.24it/s]loss 0.16 accuracy 0.95:  74%|███████▍  | 741/1000 [01:14&lt;00:25, 10.24it/s]loss 0.16 accuracy 0.95:  74%|███████▍  | 743/1000 [01:14&lt;00:24, 10.34it/s]loss 0.18 accuracy 0.94:  74%|███████▍  | 743/1000 [01:14&lt;00:24, 10.34it/s]loss 0.11 accuracy 0.97:  74%|███████▍  | 743/1000 [01:14&lt;00:24, 10.34it/s]loss 0.11 accuracy 0.97:  74%|███████▍  | 745/1000 [01:14&lt;00:24, 10.48it/s]loss 0.14 accuracy 0.97:  74%|███████▍  | 745/1000 [01:14&lt;00:24, 10.48it/s]loss 0.13 accuracy 0.97:  74%|███████▍  | 745/1000 [01:14&lt;00:24, 10.48it/s]loss 0.13 accuracy 0.97:  75%|███████▍  | 747/1000 [01:14&lt;00:23, 10.60it/s]loss 0.20 accuracy 0.95:  75%|███████▍  | 747/1000 [01:14&lt;00:23, 10.60it/s]loss 0.11 accuracy 0.98:  75%|███████▍  | 747/1000 [01:14&lt;00:23, 10.60it/s]loss 0.11 accuracy 0.98:  75%|███████▍  | 749/1000 [01:14&lt;00:24, 10.09it/s]loss 0.13 accuracy 0.97:  75%|███████▍  | 749/1000 [01:15&lt;00:24, 10.09it/s]loss 0.09 accuracy 0.96:  75%|███████▍  | 749/1000 [01:15&lt;00:24, 10.09it/s]loss 0.09 accuracy 0.96:  75%|███████▌  | 751/1000 [01:15&lt;00:24, 10.02it/s]loss 0.07 accuracy 0.98:  75%|███████▌  | 751/1000 [01:15&lt;00:24, 10.02it/s]loss 0.15 accuracy 0.94:  75%|███████▌  | 751/1000 [01:15&lt;00:24, 10.02it/s]loss 0.15 accuracy 0.94:  75%|███████▌  | 753/1000 [01:15&lt;00:24,  9.99it/s]loss 0.14 accuracy 0.97:  75%|███████▌  | 753/1000 [01:15&lt;00:24,  9.99it/s]loss 0.09 accuracy 0.98:  75%|███████▌  | 753/1000 [01:15&lt;00:24,  9.99it/s]loss 0.09 accuracy 0.98:  76%|███████▌  | 755/1000 [01:15&lt;00:25,  9.72it/s]loss 0.13 accuracy 0.98:  76%|███████▌  | 755/1000 [01:15&lt;00:25,  9.72it/s]loss 0.09 accuracy 0.98:  76%|███████▌  | 755/1000 [01:15&lt;00:25,  9.72it/s]loss 0.09 accuracy 0.98:  76%|███████▌  | 757/1000 [01:15&lt;00:24,  9.82it/s]loss 0.11 accuracy 0.98:  76%|███████▌  | 757/1000 [01:15&lt;00:24,  9.82it/s]loss 0.11 accuracy 0.98:  76%|███████▌  | 758/1000 [01:15&lt;00:24,  9.80it/s]loss 0.10 accuracy 0.98:  76%|███████▌  | 758/1000 [01:15&lt;00:24,  9.80it/s]loss 0.09 accuracy 0.98:  76%|███████▌  | 758/1000 [01:16&lt;00:24,  9.80it/s]loss 0.09 accuracy 0.98:  76%|███████▌  | 760/1000 [01:16&lt;00:24,  9.97it/s]loss 0.15 accuracy 0.98:  76%|███████▌  | 760/1000 [01:16&lt;00:24,  9.97it/s]loss 0.05 accuracy 0.99:  76%|███████▌  | 760/1000 [01:16&lt;00:24,  9.97it/s]loss 0.05 accuracy 0.99:  76%|███████▌  | 762/1000 [01:16&lt;00:23, 10.09it/s]loss 0.07 accuracy 0.98:  76%|███████▌  | 762/1000 [01:16&lt;00:23, 10.09it/s]loss 0.09 accuracy 0.98:  76%|███████▌  | 762/1000 [01:16&lt;00:23, 10.09it/s]loss 0.09 accuracy 0.98:  76%|███████▋  | 764/1000 [01:16&lt;00:23, 10.05it/s]loss 0.14 accuracy 0.95:  76%|███████▋  | 764/1000 [01:16&lt;00:23, 10.05it/s]loss 0.12 accuracy 0.95:  76%|███████▋  | 764/1000 [01:16&lt;00:23, 10.05it/s]loss 0.12 accuracy 0.95:  77%|███████▋  | 766/1000 [01:16&lt;00:23, 10.10it/s]loss 0.15 accuracy 0.95:  77%|███████▋  | 766/1000 [01:16&lt;00:23, 10.10it/s]loss 0.23 accuracy 0.95:  77%|███████▋  | 766/1000 [01:16&lt;00:23, 10.10it/s]loss 0.23 accuracy 0.95:  77%|███████▋  | 768/1000 [01:16&lt;00:22, 10.20it/s]loss 0.09 accuracy 0.97:  77%|███████▋  | 768/1000 [01:16&lt;00:22, 10.20it/s]loss 0.15 accuracy 0.95:  77%|███████▋  | 768/1000 [01:17&lt;00:22, 10.20it/s]loss 0.15 accuracy 0.95:  77%|███████▋  | 770/1000 [01:17&lt;00:22, 10.19it/s]loss 0.08 accuracy 0.98:  77%|███████▋  | 770/1000 [01:17&lt;00:22, 10.19it/s]loss 0.10 accuracy 0.98:  77%|███████▋  | 770/1000 [01:17&lt;00:22, 10.19it/s]loss 0.10 accuracy 0.98:  77%|███████▋  | 772/1000 [01:17&lt;00:22, 10.10it/s]loss 0.06 accuracy 0.97:  77%|███████▋  | 772/1000 [01:17&lt;00:22, 10.10it/s]loss 0.12 accuracy 0.98:  77%|███████▋  | 772/1000 [01:17&lt;00:22, 10.10it/s]loss 0.12 accuracy 0.98:  77%|███████▋  | 774/1000 [01:17&lt;00:23,  9.70it/s]loss 0.05 accuracy 1.00:  77%|███████▋  | 774/1000 [01:17&lt;00:23,  9.70it/s]loss 0.21 accuracy 0.93:  77%|███████▋  | 774/1000 [01:17&lt;00:23,  9.70it/s]loss 0.21 accuracy 0.93:  78%|███████▊  | 776/1000 [01:17&lt;00:22,  9.76it/s]loss 0.12 accuracy 0.96:  78%|███████▊  | 776/1000 [01:17&lt;00:22,  9.76it/s]loss 0.12 accuracy 0.96:  78%|███████▊  | 777/1000 [01:17&lt;00:22,  9.79it/s]loss 0.11 accuracy 0.97:  78%|███████▊  | 777/1000 [01:17&lt;00:22,  9.79it/s]loss 0.11 accuracy 0.97:  78%|███████▊  | 778/1000 [01:17&lt;00:22,  9.82it/s]loss 0.12 accuracy 0.95:  78%|███████▊  | 778/1000 [01:17&lt;00:22,  9.82it/s]loss 0.12 accuracy 0.95:  78%|███████▊  | 779/1000 [01:17&lt;00:22,  9.78it/s]loss 0.19 accuracy 0.96:  78%|███████▊  | 779/1000 [01:18&lt;00:22,  9.78it/s]loss 0.19 accuracy 0.96:  78%|███████▊  | 780/1000 [01:18&lt;00:22,  9.63it/s]loss 0.18 accuracy 0.97:  78%|███████▊  | 780/1000 [01:18&lt;00:22,  9.63it/s]loss 0.20 accuracy 0.94:  78%|███████▊  | 780/1000 [01:18&lt;00:22,  9.63it/s]loss 0.20 accuracy 0.94:  78%|███████▊  | 782/1000 [01:18&lt;00:22,  9.74it/s]loss 0.07 accuracy 0.99:  78%|███████▊  | 782/1000 [01:18&lt;00:22,  9.74it/s]loss 0.17 accuracy 0.95:  78%|███████▊  | 782/1000 [01:18&lt;00:22,  9.74it/s]loss 0.17 accuracy 0.95:  78%|███████▊  | 784/1000 [01:18&lt;00:21,  9.88it/s]loss 0.13 accuracy 0.95:  78%|███████▊  | 784/1000 [01:18&lt;00:21,  9.88it/s]loss 0.10 accuracy 0.98:  78%|███████▊  | 784/1000 [01:18&lt;00:21,  9.88it/s]loss 0.10 accuracy 0.98:  79%|███████▊  | 786/1000 [01:18&lt;00:21, 10.00it/s]loss 0.11 accuracy 0.95:  79%|███████▊  | 786/1000 [01:18&lt;00:21, 10.00it/s]loss 0.08 accuracy 0.98:  79%|███████▊  | 786/1000 [01:18&lt;00:21, 10.00it/s]loss 0.08 accuracy 0.98:  79%|███████▉  | 788/1000 [01:18&lt;00:20, 10.17it/s]loss 0.05 accuracy 0.99:  79%|███████▉  | 788/1000 [01:18&lt;00:20, 10.17it/s]loss 0.14 accuracy 0.96:  79%|███████▉  | 788/1000 [01:19&lt;00:20, 10.17it/s]loss 0.14 accuracy 0.96:  79%|███████▉  | 790/1000 [01:19&lt;00:20, 10.10it/s]loss 0.12 accuracy 0.97:  79%|███████▉  | 790/1000 [01:19&lt;00:20, 10.10it/s]loss 0.11 accuracy 0.98:  79%|███████▉  | 790/1000 [01:19&lt;00:20, 10.10it/s]loss 0.11 accuracy 0.98:  79%|███████▉  | 792/1000 [01:19&lt;00:20, 10.04it/s]loss 0.22 accuracy 0.95:  79%|███████▉  | 792/1000 [01:19&lt;00:20, 10.04it/s]loss 0.25 accuracy 0.91:  79%|███████▉  | 792/1000 [01:19&lt;00:20, 10.04it/s]loss 0.25 accuracy 0.91:  79%|███████▉  | 794/1000 [01:19&lt;00:20, 10.00it/s]loss 0.24 accuracy 0.91:  79%|███████▉  | 794/1000 [01:19&lt;00:20, 10.00it/s]loss 0.24 accuracy 0.91:  80%|███████▉  | 795/1000 [01:19&lt;00:20,  9.97it/s]loss 0.15 accuracy 0.96:  80%|███████▉  | 795/1000 [01:19&lt;00:20,  9.97it/s]loss 0.15 accuracy 0.96:  80%|███████▉  | 796/1000 [01:19&lt;00:20,  9.94it/s]loss 0.13 accuracy 0.95:  80%|███████▉  | 796/1000 [01:19&lt;00:20,  9.94it/s]loss 0.13 accuracy 0.95:  80%|███████▉  | 797/1000 [01:19&lt;00:20,  9.95it/s]loss 0.12 accuracy 0.98:  80%|███████▉  | 797/1000 [01:19&lt;00:20,  9.95it/s]loss 0.12 accuracy 0.98:  80%|███████▉  | 798/1000 [01:19&lt;00:20,  9.91it/s]loss 0.05 accuracy 0.99:  80%|███████▉  | 798/1000 [01:19&lt;00:20,  9.91it/s]loss 0.05 accuracy 0.99:  80%|███████▉  | 799/1000 [01:19&lt;00:20,  9.85it/s]loss 0.11 accuracy 0.97:  80%|███████▉  | 799/1000 [01:20&lt;00:20,  9.85it/s]loss 0.11 accuracy 0.97:  80%|████████  | 800/1000 [01:20&lt;00:20,  9.82it/s]loss 0.07 accuracy 0.97:  80%|████████  | 800/1000 [01:20&lt;00:20,  9.82it/s]loss 0.07 accuracy 0.97:  80%|████████  | 801/1000 [01:20&lt;00:20,  9.84it/s]loss 0.22 accuracy 0.95:  80%|████████  | 801/1000 [01:20&lt;00:20,  9.84it/s]loss 0.22 accuracy 0.95:  80%|████████  | 802/1000 [01:20&lt;00:20,  9.85it/s]loss 0.14 accuracy 0.98:  80%|████████  | 802/1000 [01:20&lt;00:20,  9.85it/s]loss 0.20 accuracy 0.94:  80%|████████  | 802/1000 [01:20&lt;00:20,  9.85it/s]loss 0.20 accuracy 0.94:  80%|████████  | 804/1000 [01:20&lt;00:19,  9.93it/s]loss 0.11 accuracy 0.98:  80%|████████  | 804/1000 [01:20&lt;00:19,  9.93it/s]loss 0.11 accuracy 0.98:  80%|████████  | 805/1000 [01:20&lt;00:19,  9.91it/s]loss 0.14 accuracy 0.95:  80%|████████  | 805/1000 [01:20&lt;00:19,  9.91it/s]loss 0.14 accuracy 0.95:  80%|████████  | 805/1000 [01:20&lt;00:19,  9.91it/s]loss 0.14 accuracy 0.95:  81%|████████  | 807/1000 [01:20&lt;00:19, 10.04it/s]loss 0.08 accuracy 0.98:  81%|████████  | 807/1000 [01:20&lt;00:19, 10.04it/s]loss 0.08 accuracy 0.98:  81%|████████  | 808/1000 [01:20&lt;00:19,  9.98it/s]loss 0.08 accuracy 0.98:  81%|████████  | 808/1000 [01:20&lt;00:19,  9.98it/s]loss 0.08 accuracy 0.98:  81%|████████  | 809/1000 [01:20&lt;00:19,  9.97it/s]loss 0.10 accuracy 0.96:  81%|████████  | 809/1000 [01:21&lt;00:19,  9.97it/s]loss 0.14 accuracy 0.98:  81%|████████  | 809/1000 [01:21&lt;00:19,  9.97it/s]loss 0.14 accuracy 0.98:  81%|████████  | 811/1000 [01:21&lt;00:19,  9.94it/s]loss 0.09 accuracy 0.97:  81%|████████  | 811/1000 [01:21&lt;00:19,  9.94it/s]loss 0.09 accuracy 0.97:  81%|████████  | 812/1000 [01:21&lt;00:18,  9.94it/s]loss 0.11 accuracy 0.97:  81%|████████  | 812/1000 [01:21&lt;00:18,  9.94it/s]loss 0.11 accuracy 0.97:  81%|████████▏ | 813/1000 [01:21&lt;00:18,  9.92it/s]loss 0.08 accuracy 0.98:  81%|████████▏ | 813/1000 [01:21&lt;00:18,  9.92it/s]loss 0.12 accuracy 0.98:  81%|████████▏ | 813/1000 [01:21&lt;00:18,  9.92it/s]loss 0.12 accuracy 0.98:  82%|████████▏ | 815/1000 [01:21&lt;00:18,  9.90it/s]loss 0.12 accuracy 0.98:  82%|████████▏ | 815/1000 [01:21&lt;00:18,  9.90it/s]loss 0.14 accuracy 0.97:  82%|████████▏ | 815/1000 [01:21&lt;00:18,  9.90it/s]loss 0.14 accuracy 0.97:  82%|████████▏ | 817/1000 [01:21&lt;00:18,  9.91it/s]loss 0.15 accuracy 0.96:  82%|████████▏ | 817/1000 [01:21&lt;00:18,  9.91it/s]loss 0.15 accuracy 0.96:  82%|████████▏ | 818/1000 [01:21&lt;00:18,  9.90it/s]loss 0.08 accuracy 0.97:  82%|████████▏ | 818/1000 [01:21&lt;00:18,  9.90it/s]loss 0.08 accuracy 0.97:  82%|████████▏ | 819/1000 [01:21&lt;00:18,  9.88it/s]loss 0.06 accuracy 0.99:  82%|████████▏ | 819/1000 [01:22&lt;00:18,  9.88it/s]loss 0.06 accuracy 0.99:  82%|████████▏ | 820/1000 [01:22&lt;00:18,  9.85it/s]loss 0.10 accuracy 0.97:  82%|████████▏ | 820/1000 [01:22&lt;00:18,  9.85it/s]loss 0.10 accuracy 0.97:  82%|████████▏ | 821/1000 [01:22&lt;00:18,  9.85it/s]loss 0.12 accuracy 0.98:  82%|████████▏ | 821/1000 [01:22&lt;00:18,  9.85it/s]loss 0.12 accuracy 0.98:  82%|████████▏ | 822/1000 [01:22&lt;00:18,  9.88it/s]loss 0.25 accuracy 0.96:  82%|████████▏ | 822/1000 [01:22&lt;00:18,  9.88it/s]loss 0.08 accuracy 0.98:  82%|████████▏ | 822/1000 [01:22&lt;00:18,  9.88it/s]loss 0.08 accuracy 0.98:  82%|████████▏ | 824/1000 [01:22&lt;00:17, 10.00it/s]loss 0.13 accuracy 0.98:  82%|████████▏ | 824/1000 [01:22&lt;00:17, 10.00it/s]loss 0.13 accuracy 0.98:  82%|████████▎ | 825/1000 [01:22&lt;00:17,  9.94it/s]loss 0.12 accuracy 0.98:  82%|████████▎ | 825/1000 [01:22&lt;00:17,  9.94it/s]loss 0.12 accuracy 0.98:  83%|████████▎ | 826/1000 [01:22&lt;00:17,  9.93it/s]loss 0.21 accuracy 0.95:  83%|████████▎ | 826/1000 [01:22&lt;00:17,  9.93it/s]loss 0.21 accuracy 0.95:  83%|████████▎ | 827/1000 [01:22&lt;00:17,  9.87it/s]loss 0.08 accuracy 0.98:  83%|████████▎ | 827/1000 [01:22&lt;00:17,  9.87it/s]loss 0.08 accuracy 0.98:  83%|████████▎ | 828/1000 [01:22&lt;00:17,  9.83it/s]loss 0.14 accuracy 0.95:  83%|████████▎ | 828/1000 [01:22&lt;00:17,  9.83it/s]loss 0.13 accuracy 0.95:  83%|████████▎ | 828/1000 [01:23&lt;00:17,  9.83it/s]loss 0.13 accuracy 0.95:  83%|████████▎ | 830/1000 [01:23&lt;00:17,  9.93it/s]loss 0.13 accuracy 0.98:  83%|████████▎ | 830/1000 [01:23&lt;00:17,  9.93it/s]loss 0.13 accuracy 0.98:  83%|████████▎ | 831/1000 [01:23&lt;00:17,  9.92it/s]loss 0.10 accuracy 0.95:  83%|████████▎ | 831/1000 [01:23&lt;00:17,  9.92it/s]loss 0.10 accuracy 0.95:  83%|████████▎ | 832/1000 [01:23&lt;00:16,  9.94it/s]loss 0.11 accuracy 0.96:  83%|████████▎ | 832/1000 [01:23&lt;00:16,  9.94it/s]loss 0.14 accuracy 0.97:  83%|████████▎ | 832/1000 [01:23&lt;00:16,  9.94it/s]loss 0.14 accuracy 0.97:  83%|████████▎ | 834/1000 [01:23&lt;00:16,  9.98it/s]loss 0.11 accuracy 0.98:  83%|████████▎ | 834/1000 [01:23&lt;00:16,  9.98it/s]loss 0.11 accuracy 0.98:  84%|████████▎ | 835/1000 [01:23&lt;00:16,  9.98it/s]loss 0.08 accuracy 0.98:  84%|████████▎ | 835/1000 [01:23&lt;00:16,  9.98it/s]loss 0.08 accuracy 0.98:  84%|████████▎ | 836/1000 [01:23&lt;00:16,  9.97it/s]loss 0.10 accuracy 0.98:  84%|████████▎ | 836/1000 [01:23&lt;00:16,  9.97it/s]loss 0.10 accuracy 0.98:  84%|████████▎ | 837/1000 [01:23&lt;00:16,  9.94it/s]loss 0.07 accuracy 0.98:  84%|████████▎ | 837/1000 [01:23&lt;00:16,  9.94it/s]loss 0.07 accuracy 0.98:  84%|████████▍ | 838/1000 [01:23&lt;00:16,  9.95it/s]loss 0.14 accuracy 0.96:  84%|████████▍ | 838/1000 [01:23&lt;00:16,  9.95it/s]loss 0.11 accuracy 0.95:  84%|████████▍ | 838/1000 [01:24&lt;00:16,  9.95it/s]loss 0.11 accuracy 0.95:  84%|████████▍ | 840/1000 [01:24&lt;00:16,  9.98it/s]loss 0.18 accuracy 0.96:  84%|████████▍ | 840/1000 [01:24&lt;00:16,  9.98it/s]loss 0.18 accuracy 0.96:  84%|████████▍ | 841/1000 [01:24&lt;00:16,  9.70it/s]loss 0.08 accuracy 0.98:  84%|████████▍ | 841/1000 [01:24&lt;00:16,  9.70it/s]loss 0.06 accuracy 0.99:  84%|████████▍ | 841/1000 [01:24&lt;00:16,  9.70it/s]loss 0.06 accuracy 0.99:  84%|████████▍ | 843/1000 [01:24&lt;00:15,  9.94it/s]loss 0.12 accuracy 0.98:  84%|████████▍ | 843/1000 [01:24&lt;00:15,  9.94it/s]loss 0.12 accuracy 0.98:  84%|████████▍ | 844/1000 [01:24&lt;00:15,  9.93it/s]loss 0.06 accuracy 0.99:  84%|████████▍ | 844/1000 [01:24&lt;00:15,  9.93it/s]loss 0.12 accuracy 0.98:  84%|████████▍ | 844/1000 [01:24&lt;00:15,  9.93it/s]loss 0.12 accuracy 0.98:  85%|████████▍ | 846/1000 [01:24&lt;00:15, 10.02it/s]loss 0.11 accuracy 0.98:  85%|████████▍ | 846/1000 [01:24&lt;00:15, 10.02it/s]loss 0.08 accuracy 0.96:  85%|████████▍ | 846/1000 [01:24&lt;00:15, 10.02it/s]loss 0.08 accuracy 0.96:  85%|████████▍ | 848/1000 [01:24&lt;00:15, 10.00it/s]loss 0.13 accuracy 0.96:  85%|████████▍ | 848/1000 [01:25&lt;00:15, 10.00it/s]loss 0.08 accuracy 0.98:  85%|████████▍ | 848/1000 [01:25&lt;00:15, 10.00it/s]loss 0.08 accuracy 0.98:  85%|████████▌ | 850/1000 [01:25&lt;00:15, 10.00it/s]loss 0.11 accuracy 0.97:  85%|████████▌ | 850/1000 [01:25&lt;00:15, 10.00it/s]loss 0.11 accuracy 0.97:  85%|████████▌ | 851/1000 [01:25&lt;00:14,  9.99it/s]loss 0.18 accuracy 0.95:  85%|████████▌ | 851/1000 [01:25&lt;00:14,  9.99it/s]loss 0.18 accuracy 0.95:  85%|████████▌ | 852/1000 [01:25&lt;00:14,  9.98it/s]loss 0.11 accuracy 0.96:  85%|████████▌ | 852/1000 [01:25&lt;00:14,  9.98it/s]loss 0.11 accuracy 0.96:  85%|████████▌ | 853/1000 [01:25&lt;00:14,  9.98it/s]loss 0.12 accuracy 0.97:  85%|████████▌ | 853/1000 [01:25&lt;00:14,  9.98it/s]loss 0.09 accuracy 0.97:  85%|████████▌ | 853/1000 [01:25&lt;00:14,  9.98it/s]loss 0.09 accuracy 0.97:  86%|████████▌ | 855/1000 [01:25&lt;00:14, 10.01it/s]loss 0.18 accuracy 0.97:  86%|████████▌ | 855/1000 [01:25&lt;00:14, 10.01it/s]loss 0.10 accuracy 0.97:  86%|████████▌ | 855/1000 [01:25&lt;00:14, 10.01it/s]loss 0.10 accuracy 0.97:  86%|████████▌ | 857/1000 [01:25&lt;00:14, 10.07it/s]loss 0.20 accuracy 0.95:  86%|████████▌ | 857/1000 [01:25&lt;00:14, 10.07it/s]loss 0.12 accuracy 0.95:  86%|████████▌ | 857/1000 [01:26&lt;00:14, 10.07it/s]loss 0.12 accuracy 0.95:  86%|████████▌ | 859/1000 [01:26&lt;00:14, 10.00it/s]loss 0.13 accuracy 0.95:  86%|████████▌ | 859/1000 [01:26&lt;00:14, 10.00it/s]loss 0.13 accuracy 0.95:  86%|████████▌ | 860/1000 [01:26&lt;00:14,  9.95it/s]loss 0.09 accuracy 0.98:  86%|████████▌ | 860/1000 [01:26&lt;00:14,  9.95it/s]loss 0.05 accuracy 0.99:  86%|████████▌ | 860/1000 [01:26&lt;00:14,  9.95it/s]loss 0.05 accuracy 0.99:  86%|████████▌ | 862/1000 [01:26&lt;00:13,  9.95it/s]loss 0.10 accuracy 0.97:  86%|████████▌ | 862/1000 [01:26&lt;00:13,  9.95it/s]loss 0.10 accuracy 0.96:  86%|████████▌ | 862/1000 [01:26&lt;00:13,  9.95it/s]loss 0.10 accuracy 0.96:  86%|████████▋ | 864/1000 [01:26&lt;00:13, 10.01it/s]loss 0.16 accuracy 0.97:  86%|████████▋ | 864/1000 [01:26&lt;00:13, 10.01it/s]loss 0.16 accuracy 0.97:  86%|████████▋ | 865/1000 [01:26&lt;00:14,  9.62it/s]loss 0.11 accuracy 0.96:  86%|████████▋ | 865/1000 [01:26&lt;00:14,  9.62it/s]loss 0.11 accuracy 0.96:  87%|████████▋ | 866/1000 [01:26&lt;00:13,  9.69it/s]loss 0.10 accuracy 0.96:  87%|████████▋ | 866/1000 [01:26&lt;00:13,  9.69it/s]loss 0.10 accuracy 0.96:  87%|████████▋ | 867/1000 [01:26&lt;00:13,  9.74it/s]loss 0.13 accuracy 0.95:  87%|████████▋ | 867/1000 [01:26&lt;00:13,  9.74it/s]loss 0.13 accuracy 0.95:  87%|████████▋ | 868/1000 [01:26&lt;00:13,  9.78it/s]loss 0.09 accuracy 0.98:  87%|████████▋ | 868/1000 [01:27&lt;00:13,  9.78it/s]loss 0.17 accuracy 0.95:  87%|████████▋ | 868/1000 [01:27&lt;00:13,  9.78it/s]loss 0.17 accuracy 0.95:  87%|████████▋ | 870/1000 [01:27&lt;00:12, 10.12it/s]loss 0.07 accuracy 0.98:  87%|████████▋ | 870/1000 [01:27&lt;00:12, 10.12it/s]loss 0.09 accuracy 0.98:  87%|████████▋ | 870/1000 [01:27&lt;00:12, 10.12it/s]loss 0.09 accuracy 0.98:  87%|████████▋ | 872/1000 [01:27&lt;00:12, 10.05it/s]loss 0.20 accuracy 0.93:  87%|████████▋ | 872/1000 [01:27&lt;00:12, 10.05it/s]loss 0.15 accuracy 0.95:  87%|████████▋ | 872/1000 [01:27&lt;00:12, 10.05it/s]loss 0.15 accuracy 0.95:  87%|████████▋ | 874/1000 [01:27&lt;00:12, 10.10it/s]loss 0.10 accuracy 0.98:  87%|████████▋ | 874/1000 [01:27&lt;00:12, 10.10it/s]loss 0.09 accuracy 0.98:  87%|████████▋ | 874/1000 [01:27&lt;00:12, 10.10it/s]loss 0.09 accuracy 0.98:  88%|████████▊ | 876/1000 [01:27&lt;00:12, 10.16it/s]loss 0.14 accuracy 0.95:  88%|████████▊ | 876/1000 [01:27&lt;00:12, 10.16it/s]loss 0.10 accuracy 0.98:  88%|████████▊ | 876/1000 [01:27&lt;00:12, 10.16it/s]loss 0.10 accuracy 0.98:  88%|████████▊ | 878/1000 [01:27&lt;00:12, 10.15it/s]loss 0.12 accuracy 0.95:  88%|████████▊ | 878/1000 [01:28&lt;00:12, 10.15it/s]loss 0.17 accuracy 0.96:  88%|████████▊ | 878/1000 [01:28&lt;00:12, 10.15it/s]loss 0.17 accuracy 0.96:  88%|████████▊ | 880/1000 [01:28&lt;00:11, 10.10it/s]loss 0.06 accuracy 0.99:  88%|████████▊ | 880/1000 [01:28&lt;00:11, 10.10it/s]loss 0.07 accuracy 0.99:  88%|████████▊ | 880/1000 [01:28&lt;00:11, 10.10it/s]loss 0.07 accuracy 0.99:  88%|████████▊ | 882/1000 [01:28&lt;00:11, 10.08it/s]loss 0.11 accuracy 0.96:  88%|████████▊ | 882/1000 [01:28&lt;00:11, 10.08it/s]loss 0.10 accuracy 0.97:  88%|████████▊ | 882/1000 [01:28&lt;00:11, 10.08it/s]loss 0.10 accuracy 0.97:  88%|████████▊ | 884/1000 [01:28&lt;00:11, 10.13it/s]loss 0.12 accuracy 0.95:  88%|████████▊ | 884/1000 [01:28&lt;00:11, 10.13it/s]loss 0.09 accuracy 0.98:  88%|████████▊ | 884/1000 [01:28&lt;00:11, 10.13it/s]loss 0.09 accuracy 0.98:  89%|████████▊ | 886/1000 [01:28&lt;00:11, 10.08it/s]loss 0.18 accuracy 0.98:  89%|████████▊ | 886/1000 [01:28&lt;00:11, 10.08it/s]loss 0.19 accuracy 0.95:  89%|████████▊ | 886/1000 [01:28&lt;00:11, 10.08it/s]loss 0.19 accuracy 0.95:  89%|████████▉ | 888/1000 [01:28&lt;00:11, 10.02it/s]loss 0.09 accuracy 0.98:  89%|████████▉ | 888/1000 [01:29&lt;00:11, 10.02it/s]loss 0.18 accuracy 0.94:  89%|████████▉ | 888/1000 [01:29&lt;00:11, 10.02it/s]loss 0.18 accuracy 0.94:  89%|████████▉ | 890/1000 [01:29&lt;00:10, 10.00it/s]loss 0.08 accuracy 0.99:  89%|████████▉ | 890/1000 [01:29&lt;00:10, 10.00it/s]loss 0.12 accuracy 0.96:  89%|████████▉ | 890/1000 [01:29&lt;00:10, 10.00it/s]loss 0.12 accuracy 0.96:  89%|████████▉ | 892/1000 [01:29&lt;00:10, 10.04it/s]loss 0.11 accuracy 0.98:  89%|████████▉ | 892/1000 [01:29&lt;00:10, 10.04it/s]loss 0.09 accuracy 0.98:  89%|████████▉ | 892/1000 [01:29&lt;00:10, 10.04it/s]loss 0.09 accuracy 0.98:  89%|████████▉ | 894/1000 [01:29&lt;00:10, 10.26it/s]loss 0.10 accuracy 0.98:  89%|████████▉ | 894/1000 [01:29&lt;00:10, 10.26it/s]loss 0.15 accuracy 0.95:  89%|████████▉ | 894/1000 [01:29&lt;00:10, 10.26it/s]loss 0.15 accuracy 0.95:  90%|████████▉ | 896/1000 [01:29&lt;00:10, 10.39it/s]loss 0.17 accuracy 0.95:  90%|████████▉ | 896/1000 [01:29&lt;00:10, 10.39it/s]loss 0.16 accuracy 0.96:  90%|████████▉ | 896/1000 [01:29&lt;00:10, 10.39it/s]loss 0.16 accuracy 0.96:  90%|████████▉ | 898/1000 [01:29&lt;00:09, 10.29it/s]loss 0.09 accuracy 0.98:  90%|████████▉ | 898/1000 [01:29&lt;00:09, 10.29it/s]loss 0.09 accuracy 0.98:  90%|████████▉ | 898/1000 [01:30&lt;00:09, 10.29it/s]loss 0.09 accuracy 0.98:  90%|█████████ | 900/1000 [01:30&lt;00:09, 10.27it/s]loss 0.08 accuracy 0.98:  90%|█████████ | 900/1000 [01:30&lt;00:09, 10.27it/s]loss 0.12 accuracy 0.95:  90%|█████████ | 900/1000 [01:30&lt;00:09, 10.27it/s]loss 0.12 accuracy 0.95:  90%|█████████ | 902/1000 [01:30&lt;00:09, 10.21it/s]loss 0.08 accuracy 0.98:  90%|█████████ | 902/1000 [01:30&lt;00:09, 10.21it/s]loss 0.10 accuracy 0.97:  90%|█████████ | 902/1000 [01:30&lt;00:09, 10.21it/s]loss 0.10 accuracy 0.97:  90%|█████████ | 904/1000 [01:30&lt;00:09, 10.06it/s]loss 0.08 accuracy 0.98:  90%|█████████ | 904/1000 [01:30&lt;00:09, 10.06it/s]loss 0.11 accuracy 0.95:  90%|█████████ | 904/1000 [01:30&lt;00:09, 10.06it/s]loss 0.11 accuracy 0.95:  91%|█████████ | 906/1000 [01:30&lt;00:09, 10.09it/s]loss 0.12 accuracy 0.95:  91%|█████████ | 906/1000 [01:30&lt;00:09, 10.09it/s]loss 0.18 accuracy 0.95:  91%|█████████ | 906/1000 [01:30&lt;00:09, 10.09it/s]loss 0.18 accuracy 0.95:  91%|█████████ | 908/1000 [01:30&lt;00:09, 10.04it/s]loss 0.12 accuracy 0.97:  91%|█████████ | 908/1000 [01:30&lt;00:09, 10.04it/s]loss 0.11 accuracy 0.97:  91%|█████████ | 908/1000 [01:31&lt;00:09, 10.04it/s]loss 0.11 accuracy 0.97:  91%|█████████ | 910/1000 [01:31&lt;00:09,  9.98it/s]loss 0.11 accuracy 0.98:  91%|█████████ | 910/1000 [01:31&lt;00:09,  9.98it/s]loss 0.12 accuracy 0.96:  91%|█████████ | 910/1000 [01:31&lt;00:09,  9.98it/s]loss 0.12 accuracy 0.96:  91%|█████████ | 912/1000 [01:31&lt;00:08,  9.97it/s]loss 0.11 accuracy 0.98:  91%|█████████ | 912/1000 [01:31&lt;00:08,  9.97it/s]loss 0.11 accuracy 0.98:  91%|█████████▏| 913/1000 [01:31&lt;00:08,  9.92it/s]loss 0.14 accuracy 0.95:  91%|█████████▏| 913/1000 [01:31&lt;00:08,  9.92it/s]loss 0.14 accuracy 0.95:  91%|█████████▏| 914/1000 [01:31&lt;00:08,  9.94it/s]loss 0.07 accuracy 0.98:  91%|█████████▏| 914/1000 [01:31&lt;00:08,  9.94it/s]loss 0.07 accuracy 0.98:  92%|█████████▏| 915/1000 [01:31&lt;00:08,  9.93it/s]loss 0.22 accuracy 0.95:  92%|█████████▏| 915/1000 [01:31&lt;00:08,  9.93it/s]loss 0.09 accuracy 0.98:  92%|█████████▏| 915/1000 [01:31&lt;00:08,  9.93it/s]loss 0.09 accuracy 0.98:  92%|█████████▏| 917/1000 [01:31&lt;00:08,  9.99it/s]loss 0.11 accuracy 0.98:  92%|█████████▏| 917/1000 [01:31&lt;00:08,  9.99it/s]loss 0.13 accuracy 0.97:  92%|█████████▏| 917/1000 [01:31&lt;00:08,  9.99it/s]loss 0.13 accuracy 0.97:  92%|█████████▏| 919/1000 [01:31&lt;00:08, 10.00it/s]loss 0.07 accuracy 0.98:  92%|█████████▏| 919/1000 [01:32&lt;00:08, 10.00it/s]loss 0.10 accuracy 0.96:  92%|█████████▏| 919/1000 [01:32&lt;00:08, 10.00it/s]loss 0.10 accuracy 0.96:  92%|█████████▏| 921/1000 [01:32&lt;00:07,  9.99it/s]loss 0.19 accuracy 0.94:  92%|█████████▏| 921/1000 [01:32&lt;00:07,  9.99it/s]loss 0.15 accuracy 0.94:  92%|█████████▏| 921/1000 [01:32&lt;00:07,  9.99it/s]loss 0.15 accuracy 0.94:  92%|█████████▏| 923/1000 [01:32&lt;00:07, 10.01it/s]loss 0.18 accuracy 0.94:  92%|█████████▏| 923/1000 [01:32&lt;00:07, 10.01it/s]loss 0.11 accuracy 0.96:  92%|█████████▏| 923/1000 [01:32&lt;00:07, 10.01it/s]loss 0.11 accuracy 0.96:  92%|█████████▎| 925/1000 [01:32&lt;00:07,  9.99it/s]loss 0.07 accuracy 0.98:  92%|█████████▎| 925/1000 [01:32&lt;00:07,  9.99it/s]loss 0.11 accuracy 0.97:  92%|█████████▎| 925/1000 [01:32&lt;00:07,  9.99it/s]loss 0.11 accuracy 0.97:  93%|█████████▎| 927/1000 [01:32&lt;00:07, 10.08it/s]loss 0.14 accuracy 0.98:  93%|█████████▎| 927/1000 [01:32&lt;00:07, 10.08it/s]loss 0.05 accuracy 0.98:  93%|█████████▎| 927/1000 [01:32&lt;00:07, 10.08it/s]loss 0.05 accuracy 0.98:  93%|█████████▎| 929/1000 [01:32&lt;00:06, 10.17it/s]loss 0.12 accuracy 0.95:  93%|█████████▎| 929/1000 [01:33&lt;00:06, 10.17it/s]loss 0.09 accuracy 0.98:  93%|█████████▎| 929/1000 [01:33&lt;00:06, 10.17it/s]loss 0.09 accuracy 0.98:  93%|█████████▎| 931/1000 [01:33&lt;00:06, 10.07it/s]loss 0.11 accuracy 0.95:  93%|█████████▎| 931/1000 [01:33&lt;00:06, 10.07it/s]loss 0.05 accuracy 0.99:  93%|█████████▎| 931/1000 [01:33&lt;00:06, 10.07it/s]loss 0.05 accuracy 0.99:  93%|█████████▎| 933/1000 [01:33&lt;00:06,  9.67it/s]loss 0.09 accuracy 0.98:  93%|█████████▎| 933/1000 [01:33&lt;00:06,  9.67it/s]loss 0.09 accuracy 0.98:  93%|█████████▎| 934/1000 [01:33&lt;00:06,  9.71it/s]loss 0.16 accuracy 0.95:  93%|█████████▎| 934/1000 [01:33&lt;00:06,  9.71it/s]loss 0.16 accuracy 0.95:  94%|█████████▎| 935/1000 [01:33&lt;00:06,  9.69it/s]loss 0.13 accuracy 0.97:  94%|█████████▎| 935/1000 [01:33&lt;00:06,  9.69it/s]loss 0.13 accuracy 0.97:  94%|█████████▎| 936/1000 [01:33&lt;00:06,  9.75it/s]loss 0.12 accuracy 0.97:  94%|█████████▎| 936/1000 [01:33&lt;00:06,  9.75it/s]loss 0.12 accuracy 0.97:  94%|█████████▎| 937/1000 [01:33&lt;00:06,  9.74it/s]loss 0.07 accuracy 0.97:  94%|█████████▎| 937/1000 [01:33&lt;00:06,  9.74it/s]loss 0.07 accuracy 0.97:  94%|█████████▍| 938/1000 [01:33&lt;00:06,  9.80it/s]loss 0.11 accuracy 0.97:  94%|█████████▍| 938/1000 [01:34&lt;00:06,  9.80it/s]loss 0.11 accuracy 0.97:  94%|█████████▍| 939/1000 [01:34&lt;00:06,  9.83it/s]loss 0.10 accuracy 0.98:  94%|█████████▍| 939/1000 [01:34&lt;00:06,  9.83it/s]loss 0.10 accuracy 0.98:  94%|█████████▍| 940/1000 [01:34&lt;00:06,  9.85it/s]loss 0.16 accuracy 0.96:  94%|█████████▍| 940/1000 [01:34&lt;00:06,  9.85it/s]loss 0.16 accuracy 0.96:  94%|█████████▍| 941/1000 [01:34&lt;00:06,  9.80it/s]loss 0.16 accuracy 0.95:  94%|█████████▍| 941/1000 [01:34&lt;00:06,  9.80it/s]loss 0.13 accuracy 0.95:  94%|█████████▍| 941/1000 [01:34&lt;00:06,  9.80it/s]loss 0.13 accuracy 0.95:  94%|█████████▍| 943/1000 [01:34&lt;00:05, 10.01it/s]loss 0.08 accuracy 0.97:  94%|█████████▍| 943/1000 [01:34&lt;00:05, 10.01it/s]loss 0.14 accuracy 0.96:  94%|█████████▍| 943/1000 [01:34&lt;00:05, 10.01it/s]loss 0.14 accuracy 0.96:  94%|█████████▍| 945/1000 [01:34&lt;00:05, 10.03it/s]loss 0.15 accuracy 0.95:  94%|█████████▍| 945/1000 [01:34&lt;00:05, 10.03it/s]loss 0.15 accuracy 0.95:  95%|█████████▍| 946/1000 [01:34&lt;00:05, 10.00it/s]loss 0.08 accuracy 0.98:  95%|█████████▍| 946/1000 [01:34&lt;00:05, 10.00it/s]loss 0.17 accuracy 0.96:  95%|█████████▍| 946/1000 [01:34&lt;00:05, 10.00it/s]loss 0.17 accuracy 0.96:  95%|█████████▍| 948/1000 [01:34&lt;00:05, 10.00it/s]loss 0.15 accuracy 0.98:  95%|█████████▍| 948/1000 [01:35&lt;00:05, 10.00it/s]loss 0.15 accuracy 0.98:  95%|█████████▍| 949/1000 [01:35&lt;00:05, 10.00it/s]loss 0.10 accuracy 0.98:  95%|█████████▍| 949/1000 [01:35&lt;00:05, 10.00it/s]loss 0.08 accuracy 0.98:  95%|█████████▍| 949/1000 [01:35&lt;00:05, 10.00it/s]loss 0.08 accuracy 0.98:  95%|█████████▌| 951/1000 [01:35&lt;00:04,  9.94it/s]loss 0.10 accuracy 0.98:  95%|█████████▌| 951/1000 [01:35&lt;00:04,  9.94it/s]loss 0.08 accuracy 0.98:  95%|█████████▌| 951/1000 [01:35&lt;00:04,  9.94it/s]loss 0.08 accuracy 0.98:  95%|█████████▌| 953/1000 [01:35&lt;00:04, 10.10it/s]loss 0.10 accuracy 0.96:  95%|█████████▌| 953/1000 [01:35&lt;00:04, 10.10it/s]loss 0.09 accuracy 0.98:  95%|█████████▌| 953/1000 [01:35&lt;00:04, 10.10it/s]loss 0.09 accuracy 0.98:  96%|█████████▌| 955/1000 [01:35&lt;00:04,  9.98it/s]loss 0.20 accuracy 0.95:  96%|█████████▌| 955/1000 [01:35&lt;00:04,  9.98it/s]loss 0.24 accuracy 0.93:  96%|█████████▌| 955/1000 [01:35&lt;00:04,  9.98it/s]loss 0.24 accuracy 0.93:  96%|█████████▌| 957/1000 [01:35&lt;00:04, 10.01it/s]loss 0.05 accuracy 0.99:  96%|█████████▌| 957/1000 [01:35&lt;00:04, 10.01it/s]loss 0.13 accuracy 0.96:  96%|█████████▌| 957/1000 [01:35&lt;00:04, 10.01it/s]loss 0.13 accuracy 0.96:  96%|█████████▌| 959/1000 [01:36&lt;00:04, 10.02it/s]loss 0.07 accuracy 0.98:  96%|█████████▌| 959/1000 [01:36&lt;00:04, 10.02it/s]loss 0.14 accuracy 0.96:  96%|█████████▌| 959/1000 [01:36&lt;00:04, 10.02it/s]loss 0.14 accuracy 0.96:  96%|█████████▌| 961/1000 [01:36&lt;00:03, 10.00it/s]loss 0.10 accuracy 0.98:  96%|█████████▌| 961/1000 [01:36&lt;00:03, 10.00it/s]loss 0.13 accuracy 0.96:  96%|█████████▌| 961/1000 [01:36&lt;00:03, 10.00it/s]loss 0.13 accuracy 0.96:  96%|█████████▋| 963/1000 [01:36&lt;00:03, 10.08it/s]loss 0.10 accuracy 0.98:  96%|█████████▋| 963/1000 [01:36&lt;00:03, 10.08it/s]loss 0.21 accuracy 0.95:  96%|█████████▋| 963/1000 [01:36&lt;00:03, 10.08it/s]loss 0.21 accuracy 0.95:  96%|█████████▋| 965/1000 [01:36&lt;00:03, 10.02it/s]loss 0.07 accuracy 0.97:  96%|█████████▋| 965/1000 [01:36&lt;00:03, 10.02it/s]loss 0.14 accuracy 0.96:  96%|█████████▋| 965/1000 [01:36&lt;00:03, 10.02it/s]loss 0.14 accuracy 0.96: 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10.00it/s]loss 0.12 accuracy 0.98:  98%|█████████▊| 975/1000 [01:37&lt;00:02, 10.00it/s]loss 0.12 accuracy 0.98:  98%|█████████▊| 976/1000 [01:37&lt;00:02,  9.89it/s]loss 0.11 accuracy 0.97:  98%|█████████▊| 976/1000 [01:37&lt;00:02,  9.89it/s]loss 0.11 accuracy 0.97:  98%|█████████▊| 976/1000 [01:37&lt;00:02,  9.89it/s]loss 0.11 accuracy 0.97:  98%|█████████▊| 978/1000 [01:37&lt;00:02,  9.90it/s]loss 0.12 accuracy 0.98:  98%|█████████▊| 978/1000 [01:38&lt;00:02,  9.90it/s]loss 0.12 accuracy 0.98:  98%|█████████▊| 979/1000 [01:38&lt;00:02,  9.86it/s]loss 0.06 accuracy 0.99:  98%|█████████▊| 979/1000 [01:38&lt;00:02,  9.86it/s]loss 0.06 accuracy 0.99:  98%|█████████▊| 980/1000 [01:38&lt;00:02,  9.87it/s]loss 0.08 accuracy 0.96:  98%|█████████▊| 980/1000 [01:38&lt;00:02,  9.87it/s]loss 0.08 accuracy 0.96:  98%|█████████▊| 981/1000 [01:38&lt;00:01,  9.81it/s]loss 0.09 accuracy 0.98:  98%|█████████▊| 981/1000 [01:38&lt;00:01,  9.81it/s]loss 0.14 accuracy 0.95:  98%|█████████▊| 981/1000 [01:38&lt;00:01,  9.81it/s]loss 0.14 accuracy 0.95:  98%|█████████▊| 983/1000 [01:38&lt;00:01,  9.97it/s]loss 0.11 accuracy 0.98:  98%|█████████▊| 983/1000 [01:38&lt;00:01,  9.97it/s]loss 0.11 accuracy 0.98:  98%|█████████▊| 984/1000 [01:38&lt;00:01,  9.95it/s]loss 0.09 accuracy 0.98:  98%|█████████▊| 984/1000 [01:38&lt;00:01,  9.95it/s]loss 0.09 accuracy 0.98:  98%|█████████▊| 985/1000 [01:38&lt;00:01,  9.95it/s]loss 0.04 accuracy 0.99:  98%|█████████▊| 985/1000 [01:38&lt;00:01,  9.95it/s]loss 0.12 accuracy 0.97:  98%|█████████▊| 985/1000 [01:38&lt;00:01,  9.95it/s]loss 0.12 accuracy 0.97:  99%|█████████▊| 987/1000 [01:38&lt;00:01, 10.09it/s]loss 0.12 accuracy 0.97:  99%|█████████▊| 987/1000 [01:38&lt;00:01, 10.09it/s]loss 0.16 accuracy 0.94:  99%|█████████▊| 987/1000 [01:39&lt;00:01, 10.09it/s]loss 0.16 accuracy 0.94:  99%|█████████▉| 989/1000 [01:39&lt;00:01,  9.97it/s]loss 0.13 accuracy 0.96:  99%|█████████▉| 989/1000 [01:39&lt;00:01,  9.97it/s]loss 0.13 accuracy 0.96:  99%|█████████▉| 990/1000 [01:39&lt;00:01,  9.69it/s]loss 0.12 accuracy 0.97:  99%|█████████▉| 990/1000 [01:39&lt;00:01,  9.69it/s]loss 0.09 accuracy 0.98:  99%|█████████▉| 990/1000 [01:39&lt;00:01,  9.69it/s]loss 0.09 accuracy 0.98:  99%|█████████▉| 992/1000 [01:39&lt;00:00,  9.83it/s]loss 0.09 accuracy 0.97:  99%|█████████▉| 992/1000 [01:39&lt;00:00,  9.83it/s]loss 0.21 accuracy 0.93:  99%|█████████▉| 992/1000 [01:39&lt;00:00,  9.83it/s]loss 0.21 accuracy 0.93:  99%|█████████▉| 994/1000 [01:39&lt;00:00,  9.89it/s]loss 0.09 accuracy 0.98:  99%|█████████▉| 994/1000 [01:39&lt;00:00,  9.89it/s]loss 0.08 accuracy 0.98:  99%|█████████▉| 994/1000 [01:39&lt;00:00,  9.89it/s]loss 0.08 accuracy 0.98: 100%|█████████▉| 996/1000 [01:39&lt;00:00, 10.07it/s]loss 0.16 accuracy 0.95: 100%|█████████▉| 996/1000 [01:39&lt;00:00, 10.07it/s]loss 0.13 accuracy 0.97: 100%|█████████▉| 996/1000 [01:39&lt;00:00, 10.07it/s]loss 0.13 accuracy 0.97: 100%|█████████▉| 998/1000 [01:39&lt;00:00, 10.00it/s]loss 0.11 accuracy 0.96: 100%|█████████▉| 998/1000 [01:40&lt;00:00, 10.00it/s]loss 0.07 accuracy 0.98: 100%|█████████▉| 998/1000 [01:40&lt;00:00, 10.00it/s]loss 0.07 accuracy 0.98: 100%|██████████| 1000/1000 [01:40&lt;00:00, 10.01it/s]loss 0.07 accuracy 0.98: 100%|██████████| 1000/1000 [01:40&lt;00:00,  9.99it/s]<br/>  0%|          | 0/79 [00:00&lt;?, ?it/s]  5%|▌         | 4/79 [00:00&lt;00:02, 32.50it/s] 10%|█         | 8/79 [00:00&lt;00:02, 33.16it/s] 15%|█▌        | 12/79 [00:00&lt;00:02, 33.00it/s] 20%|██        | 16/79 [00:00&lt;00:01, 32.89it/s] 25%|██▌       | 20/79 [00:00&lt;00:01, 32.88it/s] 30%|███       | 24/79 [00:00&lt;00:01, 32.94it/s] 35%|███▌      | 28/79 [00:00&lt;00:01, 32.96it/s] 41%|████      | 32/79 [00:00&lt;00:01, 32.90it/s] 46%|████▌     | 36/79 [00:01&lt;00:01, 33.01it/s] 51%|█████     | 40/79 [00:01&lt;00:01, 33.39it/s] 56%|█████▌    | 44/79 [00:01&lt;00:01, 33.53it/s] 61%|██████    | 48/79 [00:01&lt;00:00, 34.06it/s] 66%|██████▌   | 52/79 [00:01&lt;00:00, 34.10it/s] 71%|███████   | 56/79 [00:01&lt;00:00, 33.97it/s] 76%|███████▌  | 60/79 [00:01&lt;00:00, 33.66it/s] 81%|████████  | 64/79 [00:01&lt;00:00, 33.71it/s] 86%|████████▌ | 68/79 [00:02&lt;00:00, 34.11it/s] 91%|█████████ | 72/79 [00:02&lt;00:00, 33.78it/s] 96%|█████████▌| 76/79 [00:02&lt;00:00, 34.06it/s]100%|██████████| 79/79 [00:02&lt;00:00, 33.74it/s]<br/></span>                                    </li>                                    <li class="text">                                        <span class="stdout">test set accuracy is 0.963900<br/></span>                                    </li>                                </ul>                            </li>                        </ul>                    </li>                </ul>            </li>            <li class="level top open">                        <span><em class="time">                                <div class="time">11.34 s</div>                            </em>test_net_speed</span>                <ul>                    <li class="level suite open">                                <span><em class="time">                                        <div class="time">11.34 s</div>                                    </em>TestConvSpeed</span>                        <ul>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">11.34 s</div>                                            </em><em class="status">passed</em>test_mnist</span>                                <ul>                                    <li class="text">                                        <span class="stdout">torch forward pass:  13.142 ms<br/>torch backward pass: 37.207 ms<br/>         313060 function calls (306980 primitive calls) in 8712.060 seconds<br/>   Ordered by: internal time<br/>   List reduced from 722 to 144 due to restriction &lt;0.2&gt;<br/>   ncalls  tottime  percall  cumtime  percall filename:lineno(function)<br/>       15 4187.995  279.200 4277.586  285.172 ops_gpu.py:125(backward)<br/>       85 2712.364   31.910 3030.512   35.653 ops_gpu.py:70(reduce_op)<br/>       20  829.965   41.498  922.370   46.118 ops_gpu.py:319(inner_slice)<br/>      190  134.226    0.706  134.226    0.706 {method &#39;astype&#39; of &#39;numpy.ndarray&#39; objects}<br/>      335   41.913    0.125   41.913    0.125 {built-in method numpy.zeros}<br/>      340   39.805    0.117   39.805    0.117 {built-in method builtins.compile}<br/>     4930   38.603    0.008  155.933    0.032 pygen.py:74(writeline)<br/>        5   31.194    6.239 7507.201 1501.440 tensor.py:136(backward)<br/>    44745   26.084    0.001   28.259    0.001 {built-in method builtins.isinstance}<br/>    12750   25.093    0.002   25.093    0.002 {method &#39;match&#39; of &#39;re.Pattern&#39; objects}<br/>    20400   23.914    0.001   35.446    0.002 re.py:289(_compile)<br/>        5   22.004    4.401   22.004    4.401 {method &#39;randn&#39; of &#39;numpy.random.mtrand.RandomState&#39; objects}<br/>      585   21.593    0.037   21.593    0.037 {built-in method pyopencl._cl._enqueue_write_buffer}<br/>    10880   17.513    0.002   45.271    0.004 re.py:188(match)<br/> 2240/320   15.380    0.007   31.260    0.098 persistent_dict.py:176(rec)<br/>      170   13.415    0.079   13.415    0.079 {built-in method posix.open}<br/>      170   11.315    0.067  106.736    0.628 cache.py:323(_create_built_program_from_source_cached)<br/>      170   11.303    0.066   14.123    0.083 __init__.py:728(program_build)<br/>      340   10.241    0.030   10.241    0.030 {built-in method io.open}<br/>      335    9.812    0.029  239.217    0.714 ops_gpu.py:6(buffer_new)<br/>      140    9.705    0.069  191.764    1.370 ops_gpu.py:177(binary_op)<br/>      585    9.454    0.016    9.454    0.016 ocl.py:110(allocate)<br/>    19275    8.610    0.000    8.610    0.000 {built-in method builtins.len}<br/>     4590    8.158    0.002    8.158    0.002 {method &#39;sub&#39; of &#39;re.Pattern&#39; objects}<br/>      170    8.073    0.047  114.660    0.674 codegen.py:188(write_toplevel)<br/>     4590    7.892    0.002   31.580    0.007 pygen.py:193(_indent_line)<br/>     4590    7.699    0.002   19.397    0.004 re.py:198(search)<br/>     4590    7.657    0.002   23.688    0.005 re.py:203(sub)<br/>      340    7.607    0.022    8.164    0.024 {built-in method builtins.__build_class__}<br/>     3565    7.564    0.002   11.454    0.003 __init__.py:1352(result)<br/>      170    7.397    0.044    7.397    0.044 {built-in method posix.unlink}<br/>      585    7.024    0.012   12.942    0.022 array.py:417(__init__)<br/>      340    6.868    0.020    6.868    0.020 {built-in method posix.stat}<br/>      320    6.132    0.019   54.176    0.169 __init__.py:801(kernel_init)<br/>6780/3900    5.852    0.001   61.073    0.016 {built-in method builtins.getattr}<br/>      630    5.832    0.009    5.832    0.009 {method &#39;reduce&#39; of &#39;numpy.ufunc&#39; objects}<br/>     4590    5.793    0.001   11.263    0.002 pygen.py:150(_is_unindentor)<br/>       85    5.703    0.067    6.640    0.078 &lt;generated code&gt;:6(enqueue_knl_reduce)<br/>      510    4.963    0.010   11.305    0.022 codegen.py:1032(__init__)<br/>     1020    4.611    0.005    8.108    0.008 posixpath.py:71(join)<br/>      585    4.411    0.008   34.597    0.059 array.py:623(set)<br/>      170    4.275    0.025    5.923    0.035 {built-in method _pickle.load}<br/>      150    4.164    0.028 1201.147    8.008 tensor.py:307(apply)<br/>      585    4.118    0.007   33.296    0.057 ocl.py:89(array)<br/>      170    4.005    0.024   63.664    0.374 cache.py:250(retrieve_from_cache)<br/>      320    3.876    0.012    3.876    0.012 {built-in method pyopencl._cl.enqueue_nd_range_kernel}<br/>     4590    3.841    0.001    3.841    0.001 {method &#39;search&#39; of &#39;re.Pattern&#39; objects}<br/>     1700    3.794    0.002   22.258    0.013 lexer.py:77(match_reg)<br/>      340    3.731    0.011    3.731    0.011 {built-in method posix.mkdir}<br/>      170    3.659    0.022   77.440    0.456 codegen.py:297(write_render_callable)<br/>      340    3.382    0.010   27.433    0.081 runtime.py:860(_render)<br/>      170    3.353    0.020  312.138    1.836 template.py:239(__init__)<br/>     4020    3.321    0.001    3.321    0.001 {built-in method builtins.hasattr}<br/>     4670    3.273    0.001    3.273    0.001 {method &#39;update&#39; of &#39;_hashlib.HASH&#39; objects}<br/>     4930    3.267    0.001    3.267    0.001 pygen.py:46(_update_lineno)<br/>     2040    3.257    0.002    4.778    0.002 {method &#39;join&#39; of &#39;str&#39; objects}<br/>      150    3.122    0.021    9.925    0.066 inspect.py:2124(_signature_from_function)<br/>      630    3.095    0.005   10.370    0.016 fromnumeric.py:70(_wrapreduction)<br/>     1280    2.995    0.002    3.891    0.003 __init__.py:895(kernel_get_info)<br/>     4930    2.989    0.001    2.989    0.001 {method &#39;split&#39; of &#39;str&#39; objects}<br/>      585    2.936    0.005   27.300    0.047 __init__.py:1586(enqueue_copy)<br/>      585    2.932    0.005   37.847    0.065 api.py:407(empty_like)<br/>     6460    2.919    0.000    2.919    0.000 {method &#39;append&#39; of &#39;collections.deque&#39; objects}<br/>      320    2.907    0.009   47.456    0.148 __init__.py:809(kernel__setup)<br/>     2240    2.902    0.001    2.902    0.001 {method &#39;digest&#39; of &#39;_hashlib.HASH&#39; objects}<br/>      450    2.894    0.006  215.469    0.479 tensor.py:46(__init__)<br/>      725    2.799    0.004    2.799    0.004 {built-in method numpy.array}<br/>  510/340    2.752    0.005    4.376    0.013 kernel.py:161(process)<br/> 1020/680    2.710    0.003   15.668    0.023 parsetree.py:40(accept_visitor)<br/>      170    2.570    0.015   39.891    0.235 lexer.py:242(parse)<br/>      340    2.554    0.008    4.919    0.014 compat.py:23(inspect_getargspec)<br/>      925    2.545    0.003    3.546    0.004 __init__.py:1358(result)<br/>     1470    2.411    0.002    3.654    0.002 enum.py:313(__call__)<br/>     1530    2.352    0.002   24.214    0.016 lexer.py:63(match)<br/>     2560    2.306    0.001    2.306    0.001 {built-in method _hashlib.openssl_sha256}<br/>      170    2.292    0.013    4.610    0.027 _Users_edwardhyde_PycharmProjects_tinygrad_cuda_venv_lib_python3_8_site_packages_reikna_cluda_kernel_mako:28(render_prelude)<br/>      915    2.271    0.002   14.260    0.016 {built-in method numpy.core._multiarray_umath.implement_array_function}<br/>  850/510    2.251    0.003    3.981    0.008 parsetree.py:41(traverse)<br/>      170    2.204    0.013  143.628    0.845 __init__.py:499(build)<br/>      320    2.198    0.007   27.024    0.084 persistent_dict.py:252(update_for_tuple)<br/>      170    2.173    0.013   17.426    0.103 __init__.py:480(_process_build_options)<br/>      320    2.172    0.007   38.777    0.121 persistent_dict.py:600(fetch)<br/>      340    2.079    0.006    2.079    0.006 {method &#39;close&#39; of &#39;_io.BufferedReader&#39; objects}<br/>       10    2.047    0.205    2.200    0.220 &lt;generated code&gt;:6(enqueue_knl_conv)<br/>       10    2.022    0.202    2.106    0.211 &lt;generated code&gt;:6(enqueue_knl_convx)<br/>       10    2.017    0.202    2.156    0.216 &lt;generated code&gt;:6(enqueue_knl_convw)<br/>      170    1.986    0.012    1.986    0.012 encoder.py:204(iterencode)<br/>      585    1.986    0.003   75.968    0.130 api.py:436(to_device)<br/>     3665    1.958    0.001    1.958    0.001 {method &#39;append&#39; of &#39;list&#39; objects}<br/>      450    1.926    0.004    3.710    0.008 inspect.py:2489(__init__)<br/>       30    1.914    0.064    2.265    0.076 &lt;generated code&gt;:6(enqueue_knl_binop)<br/>      170    1.886    0.011    9.816    0.058 codegen.py:464(write_variable_declares)<br/>      585    1.879    0.003    3.736    0.006 __init__.py:266(__getattr__)<br/>      585    1.857    0.003    1.857    0.003 {built-in method _warnings.warn}<br/>      170    1.857    0.011    1.969    0.012 __init__.py:716(program_get_build_logs)<br/>      510    1.847    0.004    4.528    0.009 enum.py:927(__or__)<br/>       15    1.823    0.122    1.998    0.133 &lt;generated code&gt;:6(enqueue_knl_matmul)<br/>      415    1.774    0.004    2.184    0.005 ops_gpu.py:188(push)<br/>      170    1.765    0.010  220.133    1.295 codegen.py:118(__init__)<br/>      170    1.722    0.010  335.618    1.974 kernel.py:180(render_template_source)<br/>      150    1.716    0.011   13.406    0.089 inspect.py:2218(_signature_from_callable)<br/>      320    1.712    0.005    1.712    0.005 __init__.py:866(kernel_get_work_group_info)<br/>      680    1.707    0.003    4.259    0.006 os.py:670(__getitem__)<br/>      905    1.699    0.002    5.872    0.006 __init__.py:227(wrap_in_tuple)<br/>     2040    1.685    0.001    1.685    0.001 {method &#39;startswith&#39; of &#39;str&#39; objects}<br/>      170    1.647    0.010    9.740    0.057 cache.py:240(get_cache_key)<br/>     2320    1.628    0.001    1.628    0.001 {method &#39;encode&#39; of &#39;str&#39; objects}<br/>      510    1.627    0.003   55.717    0.109 pygen.py:69(writelines)<br/>      170    1.578    0.009    4.573    0.027 cache.py:232(get_device_cache_id)<br/>      170    1.568    0.009    5.247    0.031 shlex.py:305(split)<br/>      585    1.556    0.003   14.498    0.025 ocl.py:28(__init__)<br/>      340    1.539    0.005   12.504    0.037 runtime.py:912(_render_context)<br/>      170    1.534    0.009    2.979    0.018 lexer.py:147(append_node)<br/>      340    1.531    0.005    2.989    0.009 runtime.py:844(_populate_self_namespace)<br/>      320    1.513    0.005    2.494    0.008 ocl.py:226(&lt;listcomp&gt;)<br/>      150    1.508    0.010 1205.423    8.036 tensor.py:328(dispatch)<br/>      170    1.508    0.009  267.465    1.573 template.py:701(_compile)<br/>      170    1.508    0.009   16.084    0.095 ast.py:21(__init__)<br/>      320    1.507    0.005   57.351    0.179 __init__.py:459(__getattr__)<br/>      170    1.502    0.009    5.035    0.030 posixpath.py:228(expanduser)<br/>      640    1.488    0.002    2.241    0.004 persistent_dict.py:233(update_for_int)<br/>      340    1.484    0.004    1.933    0.006 runtime.py:29(__init__)<br/>      585    1.428    0.002    2.089    0.004 array.py:1564(add_event)<br/>      320    1.383    0.004   35.858    0.112 api.py:719(__call__)<br/>      170    1.370    0.008  165.060    0.971 api.py:634(__init__)<br/>      170    1.369    0.008    1.369    0.008 {method &#39;read&#39; of &#39;_io.BufferedReader&#39; objects}<br/>      170    1.366    0.008  223.770    1.316 codegen.py:32(compile)<br/>     1360    1.365    0.001    2.084    0.002 posixpath.py:41(_get_sep)<br/>      320    1.295    0.004   30.586    0.096 ocl.py:224(_prepared_call)<br/>      490    1.256    0.003    9.759    0.020 fromnumeric.py:2912(prod)<br/>      170    1.254    0.007    2.246    0.013 __init__.py:315(_find_include_path)<br/>     1470    1.242    0.001    1.242    0.001 enum.py:631(__new__)<br/>      510    1.230    0.002    2.701    0.005 cache.py:48(update_checksum)<br/>      680    1.198    0.002    1.925    0.003 os.py:748(encode)<br/>       20    1.197    0.060    1.433    0.072 &lt;generated code&gt;:6(enqueue_knl_gslice)<br/>      585    1.194    0.002   35.791    0.061 ocl.py:113(_copy_array)<br/>      320    1.188    0.004   33.451    0.105 persistent_dict.py:226(__call__)<br/>      170    1.173    0.007  122.032    0.718 cache.py:466(create_built_program_from_source_cached)<br/>      170    1.168    0.007    1.168    0.007 {built-in method builtins.repr}<br/>      170    1.159    0.007    1.806    0.011 posixpath.py:334(normpath)<br/>      150    1.155    0.008    2.162    0.014 inspect.py:2772(__init__)<br/>      170    1.152    0.007    1.571    0.009 __init__.py:390(__init__)<br/>      320    1.145    0.004    2.115    0.007 persistent_dict.py:356(__getitem__)<br/>      490    1.134    0.002   12.146    0.025 &lt;__array_function__ internals&gt;:2(prod)<br/>forward pass:  250.761 ms, 19.08x off baseline 13.142 ms<br/>backward pass: 1563.698 ms, 42.03x off baseline 37.207 ms<br/></span>                                    </li>                                </ul>                            </li>                        </ul>                    </li>                </ul>            </li>            <li class="level top ignored open">                        <span><em class="time">                                <div class="time">0 ms</div>                            </em>test_nn</span>                <ul>                    <li class="level suite ignored open">                                <span><em class="time">                                        <div class="time">0 ms</div>                                    </em>TestNN</span>                        <ul>                            <li class="level test ignored open">                                        <span><em class="time">                                                <div class="time">0 ms</div>                                            </em><em class="status">ignored</em>test_batchnorm2d</span>                                <ul>                                    <li class="text">                                        <span class="stdout">Skipped: Not Implemented<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test ignored open">                                        <span><em class="time">                                                <div class="time">0 ms</div>                                            </em><em class="status">ignored</em>test_batchnorm2d_training</span>                                <ul>                                    <li class="text">                                        <span class="stdout">Skipped: Not Implemented<br/></span>                                    </li>                                </ul>                            </li>                        </ul>                    </li>                </ul>            </li>            <li class="level top open">                        <span><em class="time">                                <div class="time">45.74 s</div>                            </em>test_ops</span>                <ul>                    <li class="level suite open">                                <span><em class="time">                                        <div class="time">45.74 s</div>                                    </em>TestOps</span>                        <ul>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">193 ms</div>                                            </em><em class="status">passed</em>test_abs</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.02 / 4.48 ms  bp: 0.08 / 21.49 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">98 ms</div>                                            </em><em class="status">passed</em>test_add</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing           [(45, 65), (45, 65)]   torch/tinygrad fp: 0.01 / 0.70 ms  bp: 0.08 / 14.38 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level suite open">                                        <span><em class="time">                                                <div class="time">3.81 s</div>                                            </em>test_avgpool2d</span>                                <ul>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(2, 2))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(3, 3))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(3, 2))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(5, 5))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(5, 1))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(kernel_size=(111, 28))</span>                                    </li>                                </ul>                            </li>                            <li class="level suite open">                                        <span><em class="time">                                                <div class="time">3.37 s</div>                                            </em>test_broadcast_full</span>                                <ul>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='add', shapes=((5, 13, 24, 16), (5, 1, 24, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='add', shapes=((1, 3, 1, 7, 1), (2, 1, 5, 1, 8)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='sub', shapes=((5, 13, 24, 16), (5, 1, 24, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='sub', shapes=((1, 3, 1, 7, 1), (2, 1, 5, 1, 8)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='mul', shapes=((5, 13, 24, 16), (5, 1, 24, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='mul', shapes=((1, 3, 1, 7, 1), (2, 1, 5, 1, 8)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='div', shapes=((5, 13, 24, 16), (5, 1, 24, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='div', shapes=((1, 3, 1, 7, 1), (2, 1, 5, 1, 8)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='pow', shapes=((5, 13, 24, 16), (5, 1, 24, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='pow', shapes=((1, 3, 1, 7, 1), (2, 1, 5, 1, 8)))</span>                                    </li>                                </ul>                            </li>                            <li class="level suite open">                                        <span><em class="time">                                                <div class="time">6.49 s</div>                                            </em>test_broadcast_partial</span>                                <ul>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='add', shapes=((1, 32, 32, 32), (1, 32, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='add', shapes=((5, 13, 24, 16, 2), (1, 13, 24, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='add', shapes=((4, 1), (4, 5)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='add', shapes=((1, 4), (5, 4)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='sub', shapes=((1, 32, 32, 32), (1, 32, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='sub', shapes=((5, 13, 24, 16, 2), (1, 13, 24, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='sub', shapes=((4, 1), (4, 5)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='sub', shapes=((1, 4), (5, 4)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='mul', shapes=((1, 32, 32, 32), (1, 32, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='mul', shapes=((5, 13, 24, 16, 2), (1, 13, 24, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='mul', shapes=((4, 1), (4, 5)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='mul', shapes=((1, 4), (5, 4)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='div', shapes=((1, 32, 32, 32), (1, 32, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='div', shapes=((5, 13, 24, 16, 2), (1, 13, 24, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='div', shapes=((4, 1), (4, 5)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='div', shapes=((1, 4), (5, 4)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='pow', shapes=((1, 32, 32, 32), (1, 32, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='pow', shapes=((5, 13, 24, 16, 2), (1, 13, 24, 1, 1)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='pow', shapes=((4, 1), (4, 5)))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(op='pow', shapes=((1, 4), (5, 4)))</span>                                    </li>                                </ul>                            </li>                            <li class="level suite open">                                        <span><em class="time">                                                <div class="time">19.10 s</div>                                            </em>test_conv2d</span>                                <ul>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=1, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=1, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=1, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=1, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=2, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=2, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=2, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=2, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=5, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=5, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=5, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=1, groups=1, height=5, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=1, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=1, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=1, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=1, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=2, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=2, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=2, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=2, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=5, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=5, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=5, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=1, height=5, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=1, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=1, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=1, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=1, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=2, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=2, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=2, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=2, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=5, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=5, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=5, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=1, channels=3, groups=3, height=5, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=1, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=1, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=1, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=1, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=2, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=2, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=2, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=2, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=5, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=5, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=5, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=1, groups=1, height=5, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=1, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=1, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=1, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=1, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=2, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=2, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=2, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=2, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=5, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=5, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=5, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=1, height=5, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=1, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=1, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=1, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=1, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=2, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=2, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=2, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=2, width=5)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=5, width=1)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=5, width=2)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=5, width=3)</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>(batch_size=8, channels=3, groups=3, height=5, width=5)</span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">1 ms</div>                                            </em><em class="status">passed</em>test_detach</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                 [(4, 3, 6, 6)]   torch/tinygrad fp: 0.00 / 0.01 ms  bp: nan / nan ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">216 ms</div>                                            </em><em class="status">passed</em>test_div</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing           [(45, 65), (45, 65)]   torch/tinygrad fp: 0.01 / 1.31 ms  bp: 0.14 / 31.43 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">163 ms</div>                                            </em><em class="status">passed</em>test_dot</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing          [(45, 65), (65, 100)]   torch/tinygrad fp: 0.02 / 2.33 ms  bp: 0.13 / 21.68 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">128 ms</div>                                            </em><em class="status">passed</em>test_exp</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.04 / 2.14 ms  bp: 0.08 / 16.52 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">498 ms</div>                                            </em><em class="status">passed</em>test_hardswish</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.02 / 5.99 ms  bp: 0.08 / 68.69 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">282 ms</div>                                            </em><em class="status">passed</em>test_leakyrelu</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.01 / 4.42 ms  bp: 0.08 / 38.29 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">125 ms</div>                                            </em><em class="status">passed</em>test_log</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.04 / 2.00 ms  bp: 0.06 / 16.39 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">359 ms</div>                                            </em><em class="status">passed</em>test_logsoftmax</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.05 / 9.65 ms  bp: 0.12 / 40.74 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">984 ms</div>                                            </em><em class="status">passed</em>test_max</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                      [(45, 3)]   torch/tinygrad fp: 0.01 / 2.50 ms  bp: 0.10 / 13.83 ms<br/>testing                      [(45, 3)]   torch/tinygrad fp: 0.02 / 3.49 ms  bp: 0.11 / 17.87 ms<br/>testing                           None   torch/tinygrad fp: 0.02 / 3.23 ms  bp: 0.11 / 18.54 ms<br/>testing                 [(3, 4, 5, 6)]   torch/tinygrad fp: 0.02 / 2.30 ms  bp: 0.07 / 12.95 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level suite open">                                        <span><em class="time">                                                <div class="time">2.75 s</div>                                            </em>test_maxpool2d</span>                                <ul>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(2, 2))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(3, 3))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(3, 2))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(5, 5))</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em                                                class="status">passed</em>(kernel_size=(5, 1))</span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">129 ms</div>                                            </em><em class="status">passed</em>test_mean_axis</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                 [(3, 4, 5, 6)]   torch/tinygrad fp: 0.03 / 3.13 ms  bp: 0.09 / 14.65 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">874 ms</div>                                            </em><em class="status">passed</em>test_mish</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.06 / 9.01 ms  bp: 0.13 / 131.58 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">161 ms</div>                                            </em><em class="status">passed</em>test_mul</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing           [(45, 65), (45, 65)]   torch/tinygrad fp: 0.01 / 0.90 ms  bp: 0.10 / 23.79 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">810 ms</div>                                            </em><em class="status">passed</em>test_multidot</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing   [(10, 45, 65), (10, 65, 45)]   torch/tinygrad fp: 0.08 / 3.33 ms  bp: 0.24 / 63.65 ms<br/>testing [(3, 3, 45, 65), (3, 3, 65, 45)]   torch/tinygrad fp: 0.08 / 2.71 ms  bp: 0.25 / 54.07 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">95 ms</div>                                            </em><em class="status">passed</em>test_pad2d</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                 [(3, 3, 3, 3)]   torch/tinygrad fp: 0.03 / 2.21 ms  bp: 0.09 / 11.03 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">134 ms</div>                                            </em><em class="status">passed</em>test_pow</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing           [(45, 65), (45, 65)]   torch/tinygrad fp: 0.03 / 0.72 ms  bp: 0.22 / 19.31 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">113 ms</div>                                            </em><em class="status">passed</em>test_relu</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.01 / 2.08 ms  bp: 0.08 / 14.46 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">313 ms</div>                                            </em><em class="status">passed</em>test_relu6</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.02 / 4.59 ms  bp: 0.09 / 43.87 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">127 ms</div>                                            </em><em class="status">passed</em>test_reshape</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                 [(4, 3, 6, 6)]   torch/tinygrad fp: 0.01 / 0.07 ms  bp: 0.07 / 9.42 ms<br/>testing                 [(4, 3, 6, 6)]   torch/tinygrad fp: 0.01 / 0.07 ms  bp: 0.07 / 9.72 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">189 ms</div>                                            </em><em class="status">passed</em>test_scalar_mul</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.03 / 1.27 ms  bp: 0.11 / 28.05 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">194 ms</div>                                            </em><em class="status">passed</em>test_scalar_rmul</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.02 / 0.90 ms  bp: 0.08 / 30.13 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">198 ms</div>                                            </em><em class="status">passed</em>test_scalar_rsub</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.02 / 0.95 ms  bp: 0.08 / 30.00 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">195 ms</div>                                            </em><em class="status">passed</em>test_scalar_sub</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.02 / 1.05 ms  bp: 0.09 / 27.72 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">362 ms</div>                                            </em><em class="status">passed</em>test_sigmoid</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.01 / 3.16 ms  bp: 0.08 / 53.39 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">511 ms</div>                                            </em><em class="status">passed</em>test_sign</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.02 / 5.99 ms  bp: 0.07 / 73.27 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">302 ms</div>                                            </em><em class="status">passed</em>test_slice</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                 [(3, 3, 3, 3)]   torch/tinygrad fp: 0.01 / 2.37 ms  bp: 0.09 / 11.84 ms<br/>testing                 [(3, 3, 3, 3)]   torch/tinygrad fp: 0.01 / 2.49 ms  bp: 0.09 / 11.07 ms<br/>testing                 [(3, 3, 3, 3)]   torch/tinygrad fp: 0.01 / 2.34 ms  bp: 0.12 / 12.19 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">388 ms</div>                                            </em><em class="status">passed</em>test_softplus</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.04 / 4.89 ms  bp: 0.08 / 52.72 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">208 ms</div>                                            </em><em class="status">passed</em>test_sqrt</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.06 / 1.24 ms  bp: 0.09 / 29.23 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level suite open">                                        <span><em class="time">                                                <div class="time">367 ms</div>                                            </em>test_strided_conv2d</span>                                <ul>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>[2]</span>                                    </li>                                    <li class="level test">                                        <span><em class="time"></em><em class="status">passed</em>[(2, 1)]</span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">163 ms</div>                                            </em><em class="status">passed</em>test_sub</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing           [(45, 65), (45, 65)]   torch/tinygrad fp: 0.01 / 0.91 ms  bp: 0.11 / 24.55 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">290 ms</div>                                            </em><em class="status">passed</em>test_sum</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                      [(45, 3)]   torch/tinygrad fp: 0.01 / 2.90 ms  bp: 0.08 / 10.35 ms<br/>testing                 [(3, 4, 5, 6)]   torch/tinygrad fp: 0.01 / 2.27 ms  bp: 0.07 / 10.87 ms<br/>testing                 [(3, 4, 5, 6)]   torch/tinygrad fp: 0.01 / 2.70 ms  bp: 0.08 / 10.38 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">656 ms</div>                                            </em><em class="status">passed</em>test_tanh</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.07 / 4.71 ms  bp: 0.05 / 98.73 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">199 ms</div>                                            </em><em class="status">passed</em>test_topo_sort</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                     [(45, 65)]   torch/tinygrad fp: 0.02 / 1.36 ms  bp: 0.11 / 29.43 ms<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">201 ms</div>                                            </em><em class="status">passed</em>test_transpose</span>                                <ul>                                    <li class="text">                                        <span class="stdout">testing                    [(3, 3, 3)]   torch/tinygrad fp: 0.01 / 2.23 ms  bp: 0.08 / 11.58 ms<br/>testing                 [(3, 4, 5, 6)]   torch/tinygrad fp: 0.01 / 2.42 ms  bp: 0.09 / 11.93 ms<br/></span>                                    </li>                                </ul>                            </li>                        </ul>                    </li>                </ul>            </li>            <li class="level top open">                        <span><em class="time">                                <div class="time">193 ms</div>                            </em>test_optim</span>                <ul>                    <li class="level suite open">                                <span><em class="time">                                        <div class="time">193 ms</div>                                    </em>TestOptim</span>                        <ul>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">68 ms</div>                                            </em><em class="status">passed</em>test_adam</span>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">70 ms</div>                                            </em><em class="status">passed</em>test_rmsprop</span>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">55 ms</div>                                            </em><em class="status">passed</em>test_sgd</span>                            </li>                        </ul>                    </li>                </ul>            </li>            <li class="level top ignored open">                        <span><em class="time">                                <div class="time">115 ms</div>                            </em>test_tensor</span>                <ul>                    <li class="level suite ignored open">                                <span><em class="time">                                        <div class="time">115 ms</div>                                    </em>TestTinygrad</span>                        <ul>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">51 ms</div>                                            </em><em class="status">passed</em>test_backward_pass</span>                            </li>                            <li class="level test">                                        <span><em class="time">                                                <div class="time">64 ms</div>                                            </em><em class="status">passed</em>test_backward_pass_diamond_model</span>                            </li>                            <li class="level test ignored open">                                        <span><em class="time">                                                <div class="time">0 ms</div>                                            </em><em class="status">ignored</em>test_gradcheck</span>                                <ul>                                    <li class="text">                                        <span class="stdout">Skipped: float64 not supported on GPU<br/></span>                                    </li>                                </ul>                            </li>                            <li class="level test ignored open">                                        <span><em class="time">                                                <div class="time">0 ms</div>                                            </em><em class="status">ignored</em>test_jacobian</span>                                <ul>                                    <li class="text">                                        <span class="stdout">Skipped: float64 not supported on GPU<br/></span>                                    </li>                                </ul>                            </li>                        </ul>                    </li>                </ul>            </li>        </ul>    </div></div><div id="footer">    <p>Generated by PyCharm on 2/10/21, 8:03 PM</p></div></body></html>